Dynamic Tool
VerifiedIntent-based tool selection. Activate when you want to know which tools are relevant for the current user message (weather→exec, document→feishu_doc, search→...
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# Dynamic Tool Policy
When to use: Before calling many tools, or when the user message is about weather, search, documents, or Feishu — call `get_recommended_tools` with the latest user message to get a short list of recommended tools and a hint.
- Intent mapping:
- 天气 / weather / wttr → use exec (e.g. `curl wttr.in/<city>?format=3`)
- 搜索 / search → use web_search once, then reply; do not call web_search again in the same turn
- 文档 / create doc / 飞书文档 → use feishu_doc only when the user explicitly asks for a document
- 读文件 / read file → read; 写/编辑 → write
Tool: `get_recommended_tools({ user_message })` → returns `recommended_tools` (array of tool names) and `hint` (short instruction).
Use Cases
- Route user intents to the appropriate tool — weather queries to exec, documents to Feishu
- Build dynamic tool selection pipelines that adapt to message content
- Map natural language requests to specific API endpoints and tool calls
- Create intent-classification layers for multi-tool AI agent systems
- Reduce tool call errors by matching intent before invocation
Pros & Cons
Pros
- +Intent-based routing reduces mismatched tool calls in complex agent systems
- +Dynamic selection adapts to diverse user requests without hardcoded rules
- +Useful as a middleware layer between user messages and tool execution
Cons
- -Abstract concept with minimal implementation details
- -Intent classification accuracy depends on the quality of the underlying model
FAQ
What does Dynamic Tool do?
Intent-based tool selection. Activate when you want to know which tools are relevant for the current user message (weather→exec, document→feishu_doc, search→...
What platforms support Dynamic Tool?
Dynamic Tool is available on Claude Code, OpenClaw.
What are the use cases for Dynamic Tool?
Route user intents to the appropriate tool — weather queries to exec, documents to Feishu. Build dynamic tool selection pipelines that adapt to message content. Map natural language requests to specific API endpoints and tool calls.
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