deepseek-harness/docs/tool-catalog/tools.md

Tool Schema Catalog

Every model-facing tool a shipped plugin contributes to ctx.tools: the exact name, description, and JSON-Schema parameters the model receives via the system-prompt assembly. It complements the cordis events & services catalog (the wiring a plugin listens to and calls) and core-data-structures/ (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 RFC.

Scope: shipped product tools under packages/*/tool-*. The examples/ demo tools (e.g. echo) are excluded, matching the cordis catalog's packages-only scope.

@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]. 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; poll it with bash_output and stop it with bash_kill.

{
  "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. No timeout applies."
    }
  },
  "required": [
    "command",
    "description"
  ]
}

Source: packages/bash/tool-bash/src/index.ts

bash_kill

Ask the executor to kill a running background bash task by task id.

{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "description": "Task id returned by the bash tool."
    }
  },
  "required": [
    "task_id"
  ]
}

Source: packages/bash/tool-bash/src/index.ts

bash_output

Read new output from a background bash task started with bash + run_in_background. Returns only output produced since the previous bash_output call, plus the task status. Tasks keep running while you do other work; poll again later for more output.

{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "description": "Task id returned by the bash tool."
    }
  },
  "required": [
    "task_id"
  ]
}

Source: packages/bash/tool-bash/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.

{
  "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."
    }
  },
  "required": [
    "description",
    "prompt"
  ]
}

Source: packages/subagent/tool-subagent/src/index.ts

@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).

{
  "type": "object",
  "properties": {
    "todos": {
      "type": "array",
      "description": "The COMPLETE task list, replacing any previous list.",
      "items": {
        "type": "object",
        "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