AI agents call feishu_wiki_search 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 retrieves or queries pages from a knowledge base without creating, modifying, or deleting any data. It has no side effects beyond reading and returning search results. This is a straightforward Read operation with low severity—misuse would only expose information the agent is querying for, not modify any state or cause operational damage.
From the tool's definition Tool name 'feishu_wiki_search' and description '搜索飞书知识库中的页面' (search Feishu knowledge base pages) indicate a search/query operation with no data modification
Attacks that exploit this kind of access
搜索飞书知识库中的页面. 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 feishu_wiki_search: 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.
feishu_wiki_search 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 feishu_wiki_search 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 feishu_wiki_search. 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.
feishu_wiki_search is provided by the Feishu MCP server (zlplzp123wyt/feishu-mcp). 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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