deepseek-harness/docs/tool-catalog.md

<!-- Generated by scripts/gen-tool-catalog.ts — do not edit by hand.
     Run `pnpm run gen-tool-catalog` to regenerate. -->

# Tool Schema Catalog

Every model-facing tool a shipped plugin contributes to `ctx.tools`: the `name`, `description`, and JSON-Schema `parameters` the model receives via the system-prompt assembly. It complements the cordis [events](cordis-catalog/events.md) & [services](cordis-catalog/services.md) catalogs (the wiring a plugin listens to and calls) and [core-data-structures/](core-data-structures/core.md) (the types those signatures move) — this page is the *tools* the agent is offered.

This file is GENERATED and verified fresh by `pnpm run verify-tool-catalog` (part of `doc-sync`) — do not edit it by hand. Unlike the cordis catalog (a pure source-AST pass), this generator BOOTS each tool plugin on a real context and reads `ctx.tools.schemas()`, because a tool schema is not statically knowable (runtime-spread enums, concatenated descriptions, config-driven names, raw-JSON-Schema MCP tools). A completeness guard globs `packages/*/tool-*` and fails if any package is missing from the generator's boot manifest, so a new tool cannot be silently undocumented. See [the tool-schema-catalog Agent Note](../.agents/notes/implemented/process/2026-07-02-tool-schema-catalog.md).

Scope: shipped product tools under `packages/*/tool-*`, each booted with its DEFAULT config. The registered tool NAME can be a load-time config (e.g. `tool-subagent`'s `toolName`), so a deployment may surface a package under a different or additional name — a per-package note records those shipped aliases where they exist. The `examples/` demo tools (e.g. `echo`) are excluded, matching the cordis catalog's packages-only scope.

## Tool Package Map

This table connects model-visible tool names to the plugin package and service seams behind them. Exact JSON Schemas follow in the package sections below.

| Tool package | Model-visible names | Requires | Writes / affects | Shipped aliases | Deployment note |
| --- | --- | --- | --- | --- | --- |
| `@deepseek-ai/dsh-tool-ask-user` | `ask_user_question` | `ctx.tools`, `ctx.userInteraction` | `tool/call`, `tool/result after a UI/provider answers the question` | - | ask_user_question pauses the tool call until the active UI provider returns a human answer. |
| `@deepseek-ai/dsh-tools` | `run_code` | `ctx.tools`, `ctx.codeRuntime (execution time)`, `ctx.systemPrompt` | `tool/call`, `one tool/code-dispatch per bridged sub-call`, `tool/result` | - | Owned by the tool registry as a reserved transport outside filterable capability layers under `mode: code` / `mode: both` (see the Code Mode Agent Note). Under `code` it is the registry's only wire contribution; the other visible capabilities are declared in a generated TypeScript SDK section, and a program calls them through serialized bindings that re-enter the complete guarded tool pipeline and link each nested execution to this outer result. |
| `@deepseek-ai/dsh-plan-mode` | `exit_plan_mode` | `ctx.tools`, `ctx.systemPrompt`, `ctx.userInteraction (execution time, opportunistic)` | `tool/call`, `plan/mode inactive on an approved review`, `tool/result` | - | exit_plan_mode stays in the model-facing schema while planning is inactive so transitions add no tool-catalog churn on top of the plan-policy change. Its execute path rejects calls outside plan mode; in plan mode it presents the plan over the user-interaction seam (approve / keep planning with feedback), and approval logs plan mode inactive at the step boundary. |
| `@deepseek-ai/dsh-tool-bash` | `bash` | `ctx.tools`, `ctx.bash`, `ctx.tasks at call time for run_in_background` | `tool/call`, `tool/result` | - | The bash tool is the model-facing consumer of the bash executor seam. A `run_in_background` run registers with the generic `ctx.tasks` runtime and is collected/stopped through the `task_*` tools from `@deepseek-ai/dsh-tool-tasks`; the `enableRunInBackground` config (default true) removes the parameter entirely when disabled. |
| `@deepseek-ai/dsh-tool-cordis` | `cordis_inspect`, `cordis_mount`, `cordis_unmount` | `ctx.tools` | `tool/call`, `tool/result`, `live plugin-tree mutations (mount/unmount)` | - | Ships in examples/cordis-agent only (a deliberate opt-in — mounted code gets the real ctx, see .agents/notes/implemented/feature/2026-07-08-self-referential-cordis-toolset.md). Plugins the model mounts may register ADDITIONAL model-visible tools at runtime; a full changed request header logs those tool-set changes. |
| `@deepseek-ai/dsh-tool-fs` | `edit`, `read`, `write` | `ctx.tools`, `ctx.fs`, `ctx.systemPrompt` | `tool/call`, `fs/write-intent or fs/edit-intent for mutations`, `fs/observed after successful file operations`, `tool/result` | - | The read-before-write/edit policy is added by `@deepseek-ai/dsh-fs-policy` (an `fs/*` event-gate plugin, no schema change); a deployment that loads these tools is expected to also load it. The tool schemas above are identical with or without the policy plugin. |
| `@deepseek-ai/dsh-tool-fs-search` | `glob`, `grep` | `ctx.tools`, `ctx.bash`, `ctx.systemPrompt` | `tool/call`, `tool/result` | - | glob and grep are conditional bash-backed discovery tools: they register only when ctx.bash can find `rg`, then run fixed ripgrep commands through ctx.bash as ordinary foreground calls (never background tasks). Capped results save the complete formatted list through the optional ctx.spillStore backend; returned locators are follow-up-readable/searchable when the backend exposes local paths in co-located deployments. |
| `@deepseek-ai/dsh-tool-pty` | `terminal_close`, `terminal_list`, `terminal_open`, `terminal_read`, `terminal_send`, `terminal_signal` | `ctx.tools`, `ctx.pty`, `ctx.systemPrompt`, `ctx.tasks at call time for run_in_background` | `tool/call`, `tool/result` | - | The six terminal tools are opt-in and complement one-shot bash/filesystem tools. `terminal_send(run_in_background: true)` registers with `ctx.tasks`; TUI, named key sequences, BEL, resize, auto-start, and cross-agent sharing are absent from the schema. |
| `@deepseek-ai/dsh-tool-goal` | `create_goal`, `get_goal`, `update_goal` | `ctx.tools`, `ctx.agents`, `ctx.goals`, `ctx.systemPrompt`, `a calling Agent in an authorized open turn` | `tool/call`, `user/message goal snapshot for mutations`, `tool/result` | - | create, edit, pause, and resume require direct-human root authority; complete and blocked also accept the exact current goal round. The default blocked lower bound is three admitted rounds. |
| `@deepseek-ai/dsh-tool-lsp` | `lsp` | `ctx.tools`, `ctx.lsp`, `ctx.systemPrompt` | `tool/call`, `tool/result` | - | The lsp tool keeps provider selection and language-server subprocesses behind ctx.lsp, so its model-visible schema stays stable across providers. Requires a registered provider (e.g. `@deepseek-ai/dsh-lsp-local`) at runtime; without one, a query returns the structured `LSP_UNAVAILABLE` error rather than changing the schema. |
| `@deepseek-ai/dsh-tool-ralph` | `ralph` | `ctx.tools`, `ctx.workflows`, `ctx.subagents`, `ctx.systemPrompt`, `a calling Agent (exec.agent parents every fresh round)` | `tool/call`, `tool/result`, `workflow and child session events during execution` | - | A fixed foreground workflow starts one fresh structured child per round; the model selects only the immutable objective and an optional round cap. |
| `@deepseek-ai/dsh-tool-skill` | `skill` | `ctx.tools`, `ctx.skills` | `tool/call`, `tool/result` | - | - |
| `@deepseek-ai/dsh-tool-subagent` | `subagent` | `ctx.tools`, `ctx.subagents` | `tool/call`, `tool/result`, `child session events through the chosen provider` | `subagent`, `subagent_fork` | The registered tool name is the load-time `toolName` config (default `subagent`); the schema above is that default. The shipped example agents load this package once per subagent backend, so the model additionally sees `subagent_fork` (bound to the fork backend) with an identical schema — see `examples/tui-agent/cordis.yml` and `examples/acp-agent/cordis.yml`. |
| `@deepseek-ai/dsh-tool-tasks` | `task_kill`, `task_list`, `task_output` | `ctx.tools`, `ctx.tasks`, `ctx.systemPrompt` | `tool/call`, `tool/result`, `user/message via agent.inject() for background completion notices` | - | The kind-agnostic background-task control surface: background bash commands, PTY sends, and subagents are read, listed, and killed through the same three tools. Loading the plugin attaches the control surface that arms producers' `ctx.tasks.start()`. |
| `@deepseek-ai/dsh-tool-todo` | `todo_write` | `ctx.tools`, `owning Agent session` | `tool/call`, `todo/write`, `tool/result` | - | todo_write is session-owned state; UIs render the latest todo/write event as a checklist or ACP plan. |
| `@deepseek-ai/dsh-tool-workflow` | `workflow` | `ctx.tools`, `ctx.workflows`, `ctx.systemPrompt`, `a calling Agent (exec.agent parents the script children)` | `tool/call`, `tool/result` | - | - |
| `@deepseek-ai/dsh-tool-web` | `web_fetch`, `web_search` | `ctx.tools`, `ctx.web`, `ctx.systemPrompt` | `tool/call`, `tool/result` | - | web_search and web_fetch keep provider selection behind ctx.web so model-visible schemas stay stable across backend swaps. |

## `@deepseek-ai/dsh-tool-ask-user`

### `ask_user_question`

Ask the user a concise question when you need confirmation, a choice, or missing information before proceeding. Send one or more questions, each with a stable id that will be echoed in the answer.

```json
{
  "type": "object",
  "properties": {
    "questions": {
      "type": "array",
      "description": "Questions to ask the user before continuing.",
      "items": {
        "type": "object",
        "additionalProperties": true,
        "properties": {
          "id": {
            "type": "string",
            "description": "Stable id for this question; echoed in the answer."
          },
          "question": {
            "type": "string",
            "description": "The specific question to ask the user."
          },
          "header": {
            "type": "string",
            "description": "Optional short heading for the question, such as \"Confirm\" or \"Choose Mode\"."
          },
          "options": {
            "type": "array",
            "description": "Optional choices to show the user. If you recommend one, put it first and append \"(Recommended)\" to that label.",
            "items": {
              "type": "object",
              "additionalProperties": true,
              "properties": {
                "label": {
                  "type": "string",
                  "description": "Short user-facing option label."
                },
                "description": {
                  "type": "string",
                  "description": "One sentence explaining the tradeoff or impact."
                }
              },
              "required": [
                "label"
              ]
            }
          },
          "multi_select": {
            "type": "boolean",
            "description": "Whether the user may select more than one option. Defaults to false."
          }
        },
        "required": [
          "id",
          "question"
        ]
      }
    }
  },
  "required": [
    "questions"
  ]
}
```

Source: [`packages/ui/tool-ask-user/src/index.ts`](../packages/ui/tool-ask-user/src/index.ts)

ask_user_question pauses the tool call until the active UI provider returns a human answer.

## `@deepseek-ai/dsh-tools`

### `run_code`

Execute a TypeScript program against the available tools. Write the BODY of an async function (erasable syntax only; top-level `await` and `return` work) and call tools as `await tools.name(args)` per the declarations in the system prompt. Only what you print or return comes back — curate it.

```json
{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "description": "The program: the body of an async TypeScript function."
    }
  },
  "required": [
    "code"
  ]
}
```

Source: [`packages/core/tools/src/code-mode.ts`](../packages/core/tools/src/code-mode.ts)

Owned by the tool registry as a reserved transport outside filterable capability layers under `mode: code` / `mode: both` (see the Code Mode Agent Note). Under `code` it is the registry's only wire contribution; the other visible capabilities are declared in a generated TypeScript SDK section, and a program calls them through serialized bindings that re-enter the complete guarded tool pipeline and link each nested execution to this outer result.

## `@deepseek-ai/dsh-plan-mode`

### `exit_plan_mode`

Use only in plan mode. Present your plan for the user's review and, on approval, leave plan mode. Send the COMPLETE plan as markdown, starting with a # heading that names it. The user may approve (carry out the plan from your next step) or keep planning — their feedback comes back in the tool result; revise and present again.

```json
{
  "type": "object",
  "properties": {
    "plan": {
      "type": "string",
      "description": "The complete plan, as markdown, starting with a # heading that names it."
    }
  },
  "required": [
    "plan"
  ]
}
```

Source: [`packages/plan/plan-mode/src/index.ts`](../packages/plan/plan-mode/src/index.ts)

exit_plan_mode stays in the model-facing schema while planning is inactive so transitions add no tool-catalog churn on top of the plan-policy change. Its execute path rejects calls outside plan mode; in plan mode it presents the plan over the user-interaction seam (approve / keep planning with feedback), and approval logs plan mode inactive at the step boundary.

## `@deepseek-ai/dsh-tool-bash`

### `bash`

Execute a bash command (`bash -c`) and return its stdout/stderr. Each call runs in a fresh shell: no state (cwd, variables, functions) persists between calls — pass `workdir` instead of using `cd`. Non-zero exits are reported as `[exit code: N]`. Current harness environment facts are exposed through managed `$DSH_*` variables; inspect them when needed. Commands may run under a file sandbox; a blocked file operation is reported as `[sandbox: file access denied under <mode> mode]` — a policy denial, not a bug in the command; do not retry another way. Long output is truncated to its tail; the full output is saved to a file whose path is reported when available. Set `run_in_background: true` for long-running commands: the call returns a task id immediately; read its output with `task_output` and stop it with `task_kill`.

```json
{
  "type": "object",
  "properties": {
    "command": {
      "type": "string",
      "description": "The bash command to execute."
    },
    "description": {
      "type": "string",
      "description": "Clear, concise description of what this command does in active voice, 5-10 words (shown in the UI). Examples: \"ls\" → \"List files in current directory\"; \"git status\" → \"Show working tree status\"; \"npm install\" → \"Install package dependencies\"."
    },
    "timeoutMs": {
      "type": "number",
      "description": "Timeout in milliseconds. The executor applies its configured default and cap, and kills the command on expiry."
    },
    "workdir": {
      "type": "string",
      "description": "Working directory for this command. Defaults to the session workspace; a relative path is resolved against it."
    },
    "run_in_background": {
      "type": "boolean",
      "description": "Run in the background and return a task id immediately (collect with task_output, stop with task_kill). No timeout applies."
    }
  },
  "required": [
    "command",
    "description"
  ]
}
```

Source: [`packages/bash/tool-bash/src/index.ts`](../packages/bash/tool-bash/src/index.ts)

The bash tool is the model-facing consumer of the bash executor seam. A `run_in_background` run registers with the generic `ctx.tasks` runtime and is collected/stopped through the `task_*` tools from `@deepseek-ai/dsh-tool-tasks`; the `enableRunInBackground` config (default true) removes the parameter entirely when disabled.

## `@deepseek-ai/dsh-tool-cordis`

### `cordis_inspect`

Inspect the live cordis runtime that is running THIS agent. Read-only. Sections: `services` (every provided ctx service and the plugin fiber that owns it), `plugins` (a flat list of the loaded plugins with their lifecycle states), `tools` (the model-facing tools currently registered, i.e. what you can call), `dynamic` (plugins you mounted via cordis_mount: id, name, state, provided services, awaited services), `api` (method signatures AND argument/return type shapes for every LIVE service — read this before writing plugin code that calls a service), `events` (every harness event with its dispatch mode and exact signature — pick listener targets here). Omit `what` to get all six sections. With `what:"api"` or `what:"events"`, pass an exact `name` to narrow to one service/event and include its original source JSDoc.

```json
{
  "type": "object",
  "properties": {
    "what": {
      "type": "string",
      "description": "Limit the report to one section. Omit for all sections.",
      "enum": [
        "services",
        "plugins",
        "tools",
        "dynamic",
        "api",
        "events"
      ]
    },
    "name": {
      "type": "string",
      "description": "Exact service key or event name whose original JSDoc to include; valid only with what:\"api\" or what:\"events\"."
    }
  }
}
```

Source: [`packages/cordis/tool-cordis/src/index.ts`](../packages/cordis/tool-cordis/src/index.ts)

### `cordis_mount`

Mount a NEW cordis plugin into the live runtime that is running THIS agent (self-modification). `code` runs as the body of an async JavaScript function in an isolated sandbox and MUST `return` a plugin. Two forms: FUNCTION form `return (ctx) => { … }` — declares no inject, so it can register tools, listen to events, and provide services, but reaching ANY service (e.g. ctx.bash) throws; use it only when you need no services. OBJECT form `return { name?, inject: ['bash', 'llm', …], apply(ctx) { … } }` — declares dependencies, and cordis activates the plugin only after the services exist; PREFER this form. You may reach ONLY the services you list in inject: an undeclared service throws even if it exists, because an undeclared dependency would not be cleaned up if its provider is unmounted. BEFORE calling a service from your code, read cordis_inspect what:"api" — it lists method signatures AND the type shapes of their arguments/returns (do not guess a field's type; e.g. a bash run's stdout is an object, not a string). Inside `apply`, use the standard cordis API: `ctx.on(event, listener)` to observe events (see cordis_inspect what:"events"), or call `harness.registerTool(ctx, harness.defineTool({ name, description, parameters: { text: { type: 'string', required: true } }, output: { schema: { type: 'string' }, render(_args, value) { return [{ type: 'text', text: value }] } }, async execute(args) { return args.text } }))` to give yourself a new tool — it becomes callable on your NEXT step. Tool parameters: each key IS a property — { type: 'string'|'number'|'integer'|'boolean'|'null'|'object'|'array'|'json', required?: true, description?, enum?, const?, items?, properties? }; every direct DSL object declares additionalProperties: true|false, and oneOf: [schema, schema, ...] replaces type for an exact-one union. A raw JSON-Schema { type: 'object', properties, required?: […] } wrapper is also accepted with open-by-default objects. A tool's `execute` MUST return the lossless JSON value declared by `output.schema`; `output.render(args, value)` separately returns Native/model content blocks. Mounts can COMPOSE: one plugin may `ctx.provide('name', value)` a service and another may declare `inject: ['name']` to consume it — the consumer stays pending until the provider exists and returns to pending when the provider is unmounted. Everything registered inside `apply` is cleaned up automatically on unmount. Sandbox globals: `console` (tagged `[cordis:<id>]`, writes through to the harness terminal), `harness.defineTool`, `harness.registerTool`, `btoa`, `atob`, `TextEncoder`, `TextDecoder`. Node APIs are DISABLED — do filesystem/network/timer work through the cordis services, never Node built-ins: `require`, `setTimeout`/`setInterval`, and `fetch` throw redirect errors; `process` and `Buffer` are undefined. Instead use inject: ['fs'] + ctx.fs for files, inject: ['web'] + ctx.web for HTTP, inject: ['bash'] + ctx.bash for processes, and inject: ['timer'] + ctx.setTimeout/ctx.setInterval for timing (fiber effects, auto-cleaned on unmount) — cordis_inspect what:"api" shows what THIS runtime provides. Write PLAIN JavaScript, not TypeScript (no `as`, no type annotations). Cautions: (1) waterfall events (e.g. tools/pre-execute) hand the listener a trailing `next` callback which MUST be called — returning without `next()` VETOES the call; prefer plain notification events unless you intend to intercept. (2) Never await something that only resolves after the current turn (your code runs INSIDE a tool call of that turn — it would deadlock). (3) Your `ctx` is a restricted façade: you can register tools, observe events, provide/consume services, and use timers, but framework internals (ctx.root, ctx.fiber, ctx.extend, ctx.plugin, …) are withheld. It is not a security boundary though — the services you inject (e.g. ctx.bash) reach the real runtime.

```json
{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "description": "Body of an async JS function; must `return` the plugin to mount."
    }
  },
  "required": [
    "code"
  ]
}
```

Source: [`packages/cordis/tool-cordis/src/index.ts`](../packages/cordis/tool-cordis/src/index.ts)

### `cordis_unmount`

Dispose a plugin previously mounted with cordis_mount, by id. All its registrations (event listeners, tools, services) are cleaned up through the cordis effect lifecycle. Returns only after disposal has fully completed (quiescence, not just a request to stop).

```json
{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "The dynamic mount id returned by cordis_mount (e.g. \"dyn-1\")."
    }
  },
  "required": [
    "id"
  ]
}
```

Source: [`packages/cordis/tool-cordis/src/index.ts`](../packages/cordis/tool-cordis/src/index.ts)

Ships in examples/cordis-agent only (a deliberate opt-in — mounted code gets the real ctx, see .agents/notes/implemented/feature/2026-07-08-self-referential-cordis-toolset.md). Plugins the model mounts may register ADDITIONAL model-visible tools at runtime; a full changed request header logs those tool-set changes.

## `@deepseek-ai/dsh-tool-fs`

### `edit`

Edit an existing UTF-8 text file by replacing literal text.

```json
{
  "type": "object",
  "properties": {
    "file_path": {
      "type": "string",
      "description": "Path to edit, resolved by the filesystem backend."
    },
    "old_string": {
      "type": "string",
      "description": "Literal text to replace. Must match exactly."
    },
    "new_string": {
      "type": "string",
      "description": "Literal replacement text. Use an empty string to delete the match."
    },
    "replace_all": {
      "type": "boolean",
      "description": "Replace all matches. Defaults to false; when false, old_string must appear exactly once."
    }
  },
  "required": [
    "file_path",
    "old_string",
    "new_string"
  ]
}
```

Source: [`packages/fs/tool-fs/src/index.ts`](../packages/fs/tool-fs/src/index.ts)

### `read`

Read a UTF-8 text file and return line-numbered content.

```json
{
  "type": "object",
  "properties": {
    "file_path": {
      "type": "string",
      "description": "Path to read, resolved by the filesystem backend."
    },
    "offset": {
      "type": "number",
      "description": "1-based first line to return. Defaults to 1."
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of lines to return. Defaults to 2000."
    }
  },
  "required": [
    "file_path"
  ]
}
```

Source: [`packages/fs/tool-fs/src/index.ts`](../packages/fs/tool-fs/src/index.ts)

### `write`

Create or fully replace a UTF-8 text file.

```json
{
  "type": "object",
  "properties": {
    "file_path": {
      "type": "string",
      "description": "Path to write, resolved by the filesystem backend."
    },
    "content": {
      "type": "string",
      "description": "Full UTF-8 text content to write."
    }
  },
  "required": [
    "file_path",
    "content"
  ]
}
```

Source: [`packages/fs/tool-fs/src/index.ts`](../packages/fs/tool-fs/src/index.ts)

The read-before-write/edit policy is added by `@deepseek-ai/dsh-fs-policy` (an `fs/*` event-gate plugin, no schema change); a deployment that loads these tools is expected to also load it. The tool schemas above are identical with or without the policy plugin.

## `@deepseek-ai/dsh-tool-fs-search`

### `glob`

Find files whose paths match a glob pattern. Returns matching paths sorted by modification time, including hidden and ignored files (VCS metadata directories are excluded). Returns the first 100 paths inline; a capped result reports where the complete list was saved.

```json
{
  "type": "object",
  "properties": {
    "pattern": {
      "type": "string",
      "description": "Glob pattern to match file paths against (e.g. \"**/*.ts\", \"src/**/*.test.js\")."
    },
    "path": {
      "type": "string",
      "description": "Directory to search in. Defaults to the session workspace; a relative path resolves against it."
    }
  },
  "required": [
    "pattern"
  ]
}
```

Source: [`packages/fs/tool-fs-search/src/index.ts`](../packages/fs/tool-fs-search/src/index.ts)

### `grep`

Search file contents with a ripgrep regular expression. Returns matching lines with line numbers, grouped by file. Returns the first 250 matches inline; a capped result reports where the complete match list was saved. Use read on a matched file for surrounding context.

```json
{
  "type": "object",
  "properties": {
    "pattern": {
      "type": "string",
      "description": "Regular expression to search for (ripgrep syntax)."
    },
    "path": {
      "type": "string",
      "description": "File or directory to search. Defaults to the session workspace; a relative path resolves against it."
    },
    "include": {
      "type": "string",
      "description": "One glob filter for which files to search (e.g. \"*.ts\", \"*.{js,jsx}\"). Not a list; negation is not supported."
    }
  },
  "required": [
    "pattern"
  ]
}
```

Source: [`packages/fs/tool-fs-search/src/index.ts`](../packages/fs/tool-fs-search/src/index.ts)

glob and grep are conditional bash-backed discovery tools: they register only when ctx.bash can find `rg`, then run fixed ripgrep commands through ctx.bash as ordinary foreground calls (never background tasks). Capped results save the complete formatted list through the optional ctx.spillStore backend; returned locators are follow-up-readable/searchable when the backend exposes local paths in co-located deployments.

## `@deepseek-ai/dsh-tool-pty`

### `terminal_close`

Close one persistent terminal and wait until its captured owned process tree is gone.

```json
{
  "type": "object",
  "properties": {
    "sessionId": {
      "type": "string",
      "description": "Terminal session id."
    }
  },
  "required": [
    "sessionId"
  ]
}
```

Source: [`packages/pty/tool-pty/src/index.ts`](../packages/pty/tool-pty/src/index.ts)

### `terminal_list`

List persistent terminal sessions owned by the current agent.

```json
{
  "type": "object",
  "properties": {}
}
```

Source: [`packages/pty/tool-pty/src/index.ts`](../packages/pty/tool-pty/src/index.ts)

### `terminal_open`

Create a persistent, owner-isolated terminal session from a registered backend type. Use this for shell or REPL state that must survive across tool calls.

```json
{
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "description": "Registered terminal backend type, usually \"shell\"."
    },
    "name": {
      "type": "string",
      "description": "Optional owner-local display name such as \"main\" or \"gdb\"."
    },
    "cwd": {
      "type": "string",
      "description": "Initial working directory. Defaults to the deployment workspace root."
    }
  },
  "required": [
    "type"
  ]
}
```

Source: [`packages/pty/tool-pty/src/index.ts`](../packages/pty/tool-pty/src/index.ts)

### `terminal_read`

Read a bounded page of retained output from a persistent terminal without sending input.

```json
{
  "type": "object",
  "properties": {
    "sessionId": {
      "type": "string",
      "description": "Terminal session id."
    },
    "offset": {
      "type": "number",
      "description": "Newest-relative line offset (default 0)."
    },
    "count": {
      "type": "number",
      "description": "Requested line count (default 500; backend caps apply)."
    }
  },
  "required": [
    "sessionId"
  ]
}
```

Source: [`packages/pty/tool-pty/src/index.ts`](../packages/pty/tool-pty/src/index.ts)

### `terminal_send`

Send text to a persistent terminal. By default Enter is submitted and the call waits for a prompt, stdin wait, output silence, timeout, or session exit. Background mode returns a task id for task_output/task_kill.

```json
{
  "type": "object",
  "properties": {
    "sessionId": {
      "type": "string",
      "description": "Terminal session id returned by terminal_open or terminal_list."
    },
    "text": {
      "type": "string",
      "description": "UTF-8 text to write to the terminal."
    },
    "submit": {
      "type": "boolean",
      "description": "Submit Enter after text (default true). Set false for control characters or incomplete REPL input."
    },
    "run_in_background": {
      "type": "boolean",
      "description": "Return a task id immediately; collect with task_output or stop with task_kill."
    }
  },
  "required": [
    "sessionId",
    "text"
  ]
}
```

Source: [`packages/pty/tool-pty/src/index.ts`](../packages/pty/tool-pty/src/index.ts)

### `terminal_signal`

Send an allowed signal to the current foreground process group of a persistent terminal.

```json
{
  "type": "object",
  "properties": {
    "sessionId": {
      "type": "string",
      "description": "Terminal session id."
    },
    "signal": {
      "type": "string",
      "description": "Signal to deliver. Shell-targeted SIGKILL is rejected; use terminal_close.",
      "enum": [
        "SIGINT",
        "SIGTERM",
        "SIGKILL",
        "SIGTSTP",
        "SIGHUP"
      ]
    }
  },
  "required": [
    "sessionId",
    "signal"
  ]
}
```

Source: [`packages/pty/tool-pty/src/index.ts`](../packages/pty/tool-pty/src/index.ts)

The six terminal tools are opt-in and complement one-shot bash/filesystem tools. `terminal_send(run_in_background: true)` registers with `ctx.tasks`; TUI, named key sequences, BEL, resize, auto-start, and cross-agent sharing are absent from the schema.

## `@deepseek-ai/dsh-tool-goal`

### `create_goal`

Create one persisted same-session completion goal when the current direct human request is a long-running objective that should continue across autonomous goal rounds. You may infer that intent without requiring the user to say "create a goal". Do not use this for trivial single-turn work. Execution rejects non-human and subagent authority.

```json
{
  "type": "object",
  "properties": {
    "objective": {
      "type": "string",
      "description": "The concrete completion objective inferred from the direct human request."
    },
    "max_goal_rounds": {
      "type": "number",
      "description": "Optional positive safe-integer limit on automatic continuation rounds."
    }
  },
  "required": [
    "objective"
  ]
}
```

Source: [`packages/goal/tool-goal/src/index.ts`](../packages/goal/tool-goal/src/index.ts)

### `get_goal`

Read the current same-session goal, including its exact id/revision, objective, phase, completed continuation rounds, round limit, blocker reason when present, and whether another continuation is armed. Call this before updating a goal.

```json
{
  "type": "object",
  "properties": {}
}
```

Source: [`packages/goal/tool-goal/src/index.ts`](../packages/goal/tool-goal/src/index.ts)

### `update_goal`

Update the exact current goal revision. edit, pause, and resume require a direct top-level human request. During an automatic continuation of the current goal, complete and blocked are also allowed. blocked is rejected before the configured minimum round count; the model remains responsible for judging that the same condition persisted across those rounds and must explain it in blocked_reason.

```json
{
  "type": "object",
  "properties": {
    "goal_id": {
      "type": "string",
      "description": "Exact id returned by get_goal."
    },
    "revision": {
      "type": "number",
      "description": "Exact positive revision returned by get_goal."
    },
    "action": {
      "type": "string",
      "description": "edit | pause | resume | complete | blocked",
      "enum": [
        "edit",
        "pause",
        "resume",
        "complete",
        "blocked"
      ]
    },
    "objective": {
      "type": "string",
      "description": "Replacement objective; valid only with action edit."
    },
    "max_goal_rounds": {
      "type": "number",
      "description": "Replacement cap; valid only with action edit."
    },
    "blocked_reason": {
      "type": "string",
      "description": "Concrete blocking condition; required only with action blocked."
    }
  },
  "required": [
    "goal_id",
    "revision",
    "action"
  ]
}
```

Source: [`packages/goal/tool-goal/src/index.ts`](../packages/goal/tool-goal/src/index.ts)

create, edit, pause, and resume require direct-human root authority; complete and blocked also accept the exact current goal round. The default blocked lower bound is three admitted rounds.

## `@deepseek-ai/dsh-tool-lsp`

### `lsp`

Query a language server for precise code navigation. operation is one of goToDefinition, findReferences, goToImplementation, hover. line and character are one-based UTF-16 cursor coordinates. findReferences includes the declaration.

```json
{
  "type": "object",
  "properties": {
    "operation": {
      "type": "string",
      "description": "goToDefinition, findReferences, goToImplementation, or hover.",
      "enum": [
        "goToDefinition",
        "findReferences",
        "goToImplementation",
        "hover"
      ]
    },
    "file_path": {
      "type": "string",
      "description": "The source file to query, relative to the workspace or absolute."
    },
    "line": {
      "type": "number",
      "description": "One-based line of the cursor."
    },
    "character": {
      "type": "number",
      "description": "One-based UTF-16 column of the cursor."
    }
  },
  "required": [
    "operation",
    "file_path",
    "line",
    "character"
  ]
}
```

Source: [`packages/lsp/tool-lsp/src/index.ts`](../packages/lsp/tool-lsp/src/index.ts)

The lsp tool keeps provider selection and language-server subprocesses behind ctx.lsp, so its model-visible schema stays stable across providers. Requires a registered provider (e.g. `@deepseek-ai/dsh-lsp-local`) at runtime; without one, a query returns the structured `LSP_UNAVAILABLE` error rather than changing the schema.

## `@deepseek-ai/dsh-tool-ralph`

### `ralph`

Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools.

```json
{
  "type": "object",
  "properties": {
    "objective": {
      "type": "string",
      "description": "The immutable completion objective for every fresh Ralph round."
    },
    "maxRounds": {
      "type": "number",
      "description": "Optional positive safe-integer round cap, bounded by the deployment ceiling."
    }
  },
  "required": [
    "objective"
  ]
}
```

Source: [`packages/workflow/tool-ralph/src/index.ts`](../packages/workflow/tool-ralph/src/index.ts)

A fixed foreground workflow starts one fresh structured child per round; the model selects only the immutable objective and an optional round cap.

## `@deepseek-ai/dsh-tool-skill`

### `skill`

Load the full instructions for an available skill. Call this with the exact skill name from the session skill catalog before acting on a task that names or clearly matches that skill.

```json
{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "The exact skill name from the available skills list."
    }
  },
  "required": [
    "name"
  ]
}
```

Source: [`packages/skill/tool-skill/src/index.ts`](../packages/skill/tool-skill/src/index.ts)

## `@deepseek-ai/dsh-tool-subagent`

### `subagent`

Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`.

```json
{
  "type": "object",
  "properties": {
    "description": {
      "type": "string",
      "description": "A short (3-5 word) description of the delegated task, for display."
    },
    "prompt": {
      "type": "string",
      "description": "The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs."
    },
    "run_in_background": {
      "type": "boolean",
      "description": "Run as a background task and return its id; collect with task_output or stop with task_kill."
    }
  },
  "required": [
    "description",
    "prompt"
  ]
}
```

Source: [`packages/subagent/tool-subagent/src/index.ts`](../packages/subagent/tool-subagent/src/index.ts)

The registered tool name is the load-time `toolName` config (default `subagent`); the schema above is that default. The shipped example agents load this package once per subagent backend, so the model additionally sees `subagent_fork` (bound to the fork backend) with an identical schema — see `examples/tui-agent/cordis.yml` and `examples/acp-agent/cordis.yml`.

## `@deepseek-ai/dsh-tool-tasks`

### `task_kill`

Request cancellation of a running background task by task id. Returns immediately; the task settles as killed once its work actually stops.

```json
{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "description": "Task id returned by the tool that started the background work."
    },
    "reason": {
      "type": "string",
      "description": "Optional short reason, recorded in the log and forwarded to the task."
    }
  },
  "required": [
    "task_id"
  ]
}
```

Source: [`packages/tasks/tool-tasks/src/index.ts`](../packages/tasks/tool-tasks/src/index.ts)

### `task_list`

List your background tasks (running and finished) with their ids, kinds, and statuses.

```json
{
  "type": "object",
  "properties": {}
}
```

Source: [`packages/tasks/tool-tasks/src/index.ts`](../packages/tasks/tool-tasks/src/index.ts)

### `task_output`

Read a background task. Stream tasks return only output since the previous read; final-output tasks return their result after settlement. Every response ends with `[status: ...]`. Reads are non-blocking unless `wait: true`, which waits up to the configured cap.

```json
{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "description": "Task id returned by the tool that started the background work."
    },
    "wait": {
      "type": "boolean",
      "description": "Block until the task reaches a terminal status or the timeout expires. A timed-out wait returns [status: running] and leaves the task alive."
    },
    "timeout_ms": {
      "type": "number",
      "description": "Max wait in milliseconds (only meaningful with wait: true). Defaults to the configured wait timeout; capped by the configured maximum."
    }
  },
  "required": [
    "task_id"
  ]
}
```

Source: [`packages/tasks/tool-tasks/src/index.ts`](../packages/tasks/tool-tasks/src/index.ts)

The kind-agnostic background-task control surface: background bash commands, PTY sends, and subagents are read, listed, and killed through the same three tools. Loading the plugin attaches the control surface that arms producers' `ctx.tasks.start()`.

## `@deepseek-ai/dsh-tool-todo`

### `todo_write`

Record and update a structured task list for the current work. Send the ENTIRE list every call — it REPLACES the previous list (there are no partial updates, no per-item edits). Use it to plan multi-step work and show progress: add one todo per concrete step before you start. Keep AT MOST ONE todo `in_progress` at a time; while work remains, exactly one active task should be `in_progress`. Mark a todo `completed` the moment it is done (do not batch completions), and allow no `in_progress` item only once all work is complete. Skip the list for trivial single-step tasks. Statuses: `pending` (not started), `in_progress` (being worked on now), `completed` (finished).

```json
{
  "type": "object",
  "properties": {
    "todos": {
      "type": "array",
      "description": "The COMPLETE task list, replacing any previous list.",
      "items": {
        "type": "object",
        "additionalProperties": true,
        "properties": {
          "content": {
            "type": "string",
            "description": "What the task is — a short imperative line."
          },
          "status": {
            "type": "string",
            "description": "pending (not started) | in_progress (now) | completed (done).",
            "enum": [
              "pending",
              "in_progress",
              "completed"
            ]
          }
        },
        "required": [
          "content",
          "status"
        ]
      }
    }
  },
  "required": [
    "todos"
  ]
}
```

Source: [`packages/todo/tool-todo/src/index.ts`](../packages/todo/tool-todo/src/index.ts)

todo_write is session-owned state; UIs render the latest todo/write event as a checklist or ACP plan.

## `@deepseek-ai/dsh-tool-workflow`

### `workflow`

Run a JavaScript workflow script that orchestrates subagents at scale. Use this for work that fans out across many independent pieces — an audit over many files, a migration, multi-angle research, adversarial verification of findings — where you write the orchestration as a script instead of delegating turn by turn.

The workflow's identity rides the `meta` parameter as JSON: required `name` (short kebab-case) and `description` strings, optional `whenToUse` string and `phases` array (`{title, detail?, provider?, model?}`). The `script` parameter is the plain JavaScript body ONLY (NOT TypeScript, and NO `export const meta` statement — meta is a parameter, not code), running with top-level await; end with `return <value>` — the value must be JSON-serializable and is this tool's result.

Script-body hooks:
- `agent(prompt, opts?): Promise<any>` — run one subagent to completion. Without `opts.schema` it resolves to the child's final text; with `opts.schema` (an object-rooted JSON Schema using ONLY type/properties/required/additionalProperties/items/enum/const/oneOf — no pattern/format/numeric bounds) it resolves to the validated object. Resolves `null` when the child fails (filter with `.filter(Boolean)`). Other opts: `label` (display), `phase` (progress group), and independent `provider`/`model` LLM target overrides (either may be provided alone). Anything else (`effort`/`isolation`/`agentType`) is rejected loudly.
- `pipeline(items, ...stages): Promise<any[]>` — run each item through the stages independently with NO barrier between stages (prefer this for multi-stage work). Each stage receives `(prev, item, index)`. An ordinary stage throw drops that ITEM to `null` and skips its remaining stages.
- `parallel(thunks): Promise<any[]>` — run zero-argument functions concurrently and await ALL of them (a barrier; use only when a stage genuinely needs every prior result together). A throwing thunk resolves to `null`.
- `phase(title)` — start a progress phase; `log(message)` — narrate progress; `args` — the tool call's `args` input, verbatim.

Misused hooks (bad arguments, unknown options, unsupported schemas, tripped caps) throw errors that ALWAYS kill the script — they never dissolve into a per-item `null`.

Constraints: concurrency and total-agent caps apply; no filesystem, network, timers, or Node.js APIs are provided — the agents do the work, the script only coordinates them. The run executes in the foreground: this call returns when the whole script finishes.

```json
{
  "type": "object",
  "properties": {
    "script": {
      "type": "string",
      "description": "The plain-JS workflow script body (top-level await allowed; NO `export const meta` statement; end with `return <json-value>`)."
    },
    "meta": {
      "type": "object",
      "description": "The workflow identity block (plain JSON — never code).",
      "additionalProperties": true,
      "properties": {
        "name": {
          "type": "string",
          "description": "Short kebab-case workflow name."
        },
        "description": {
          "type": "string",
          "description": "One-line description of what the workflow does."
        },
        "whenToUse": {
          "type": "string",
          "description": "Optional guidance on when this workflow applies."
        },
        "phases": {
          "type": "array",
          "description": "Optional phase declarations matched by phase() calls.",
          "items": {
            "type": "object",
            "additionalProperties": true,
            "properties": {
              "title": {
                "type": "string",
                "description": "The phase title phase() calls match by exact string."
              },
              "detail": {
                "type": "string",
                "description": "Optional one-line description of the phase."
              },
              "provider": {
                "type": "string",
                "description": "Optional provider override this phase is expected to use."
              },
              "model": {
                "type": "string",
                "description": "Optional model override this phase is expected to use."
              }
            },
            "required": [
              "title"
            ]
          }
        }
      },
      "required": [
        "name",
        "description"
      ]
    },
    "args": {
      "type": "object",
      "description": "Optional JSON input exposed to the script as the `args` global (wrap a bare list as a field, e.g. {\"files\": [...]}).",
      "additionalProperties": true
    }
  },
  "required": [
    "script",
    "meta"
  ]
}
```

Source: [`packages/workflow/tool-workflow/src/index.ts`](../packages/workflow/tool-workflow/src/index.ts)

## `@deepseek-ai/dsh-tool-web`

### `web_fetch`

Fetch the content of a specific HTTP(S) URL and return it decoded to text.

```json
{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The HTTP(S) URL to fetch."
    }
  },
  "required": [
    "url"
  ]
}
```

Source: [`packages/web/tool-web/src/index.ts`](../packages/web/tool-web/src/index.ts)

### `web_search`

Search the web for current information. Returns an optional summary answer and a list of source URLs.

```json
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The search query."
    }
  },
  "required": [
    "query"
  ]
}
```

Source: [`packages/web/tool-web/src/index.ts`](../packages/web/tool-web/src/index.ts)

web_search and web_fetch keep provider selection behind ctx.web so model-visible schemas stay stable across backend swaps.