AI agents call search_docs to retrieve information from Feishu without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a search operation to retrieve or query Feishu documents. Search operations are inherently Read category—they retrieve information with no side effects. The context of sibling tools (get_doc_content, get_doc_meta, list_*) confirms this server is primarily data-retrieval focused.
From the tool's definition Tool name 'search_docs' and description '搜索飞书文档' (search Feishu documents) indicate a query/search operation that retrieves data without modifying or deleting anything.
Attacks that exploit this kind of access
搜索飞书文档. It is categorised as a Read tool in the Feishu MCP Server, which means it retrieves data without modifying state.
Register the Feishu MCP server in PolicyLayer and add a rule for search_docs: 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 Feishu. Nothing to install.
search_docs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_docs 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.
Set action: deny in the PolicyLayer policy for search_docs. 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.
search_docs is provided by the Feishu MCP server (lm203688/feishu-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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