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Built-in tools overview

Three tool families at a glance

CategoryToolOne-line purpose
Searchunified_searchSingle entry for “find anything” (knowledge base / memory / past sessions / code)
code_searchFast code grep (sandbox code + KB zero/light-index code)
AssetscredentialFetch third-party credentials safely (DOORS / Jira / GitLab / Feishu tokens)
record_knowledgePersist key conclusions back to the KB / long-term memory
image_toolsView, edit images; extract text / tables / diagrams
file_opsRead/write sandbox files (unpack, convert, batch)
Collaborationask_userAsk the human when confirmation is needed (e.g., before Gerrit -2)
cron / event_triggerCron schedules + events so agents start on their own

All tools are tenant-isolated; writes are audited; sensitive paths use ask_user for a second confirmation. Tools are for AI Agents—users usually don’t invoke them directly; the AI picks them as needed. This section explains what the AI can do and why it sometimes asks for confirmation.


Tools vs SKILL: responsibilities

Often confused. In one sentence:

  • Tools are platform-provided, cross-scenario primitives every SKILL can call (e.g., unified_search, credential)
  • SKILL is a scenario playbook: steps, which tools to call, and what to deliver (e.g., code-review, patent-agent)
Rendering diagram…

Tools are low-level primitives; SKILLs are higher-level playbooks.


Custom tools

Most tools are built-in. To add your own (e.g., internal ERP or a private API client), extend via the SKILL mechanism—a manifest plus a CLI/Python entry—and the platform registers it on startup. See Skills and Parser SKILL-style extensions.


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