AI agents call feishu_list_chats to retrieve information from Lark Cli without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and searches chat information without modifying, deleting, or executing any actions. It returns chat IDs based on keyword search, which is a read-only operation. The blast radius is minimal—it exposes metadata about available chats the user has access to, but does not enable sending messages, modifying data, or executing operations.
From the tool's definition Tool name 'feishu_list_chats' and description '搜索飞书群聊列表（按关键词找 chat_id）' (Search Feishu group chat list to find chat_id by keyword) indicates data retrieval functionality.
Attacks that exploit this kind of access
搜索飞书群聊列表（按关键词找 chat_id）. It is categorised as a Read tool in the Lark Cli MCP Server, which means it retrieves data without modifying state.
Register the Lark Cli MCP server in PolicyLayer and add a rule for feishu_list_chats: 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 Lark Cli. Nothing to install.
feishu_list_chats 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_list_chats 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_list_chats. 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_list_chats is provided by the Lark Cli MCP server (yoreland/lark-cli-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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