Low Risk

search_documents

搜索知识库中的文档。支持 BM25 + 向量混合召回;可选 cross-encoder rerank 提升精度。

How to control search_documents ↓

What search_documents does on Personal Knowledge MCP Server

AI agents call search_documents to retrieve information from Personal Knowledge MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why search_documents needs a policy

This tool retrieves and queries documents from the knowledge base without creating, modifying, deleting, or executing code. It is a pure read operation that returns search results based on specified criteria. The hybrid retrieval and reranking are optimization mechanisms for the search, not side-effect operations. No destructive, financial, or execution risk exists.

From the tool's definition Tool name 'search_documents' and description indicate it performs document search with BM25 and vector retrieval ('混合召回') and optional reranking. The description uses 'search' and 'recall' terminology; no modification, deletion, or execution keywords present.

Documented attack patterns abuse exactly the kind of access search_documents gives an agent:

How to control search_documents

PolicyLayer is an MCP gateway — it sits between your AI agents and Personal Knowledge MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_documents:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_documents": {}
  }
}

search_documents is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Personal Knowledge MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about search_documents

What does the search_documents tool do? +

搜索知识库中的文档。支持 BM25 + 向量混合召回;可选 cross-encoder rerank 提升精度。. It is categorised as a Read tool in the Personal Knowledge MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_documents? +

Register the Personal Knowledge MCP Server MCP server in PolicyLayer and add a rule for search_documents: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Personal Knowledge MCP Server. Nothing to install.

What risk level is search_documents? +

search_documents is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_documents? +

Yes. Add a rate_limit block to the search_documents rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block search_documents completely? +

Set action: deny in the PolicyLayer policy for search_documents. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides search_documents? +

search_documents is provided by the Personal Knowledge MCP Server MCP server (kyodule/personal-knowledge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Personal Knowledge MCP Server tool call.

Start from Personal Knowledge MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

29 Personal Knowledge MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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