AI agents call list_calendars 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 calendar metadata (list of calendars) from the Feishu system. It performs a read-only query operation that returns calendar information without creating, modifying, deleting, or executing any actions. No side effects occur from calling this tool. Consistent with sibling tools like 'list_sheets', 'list_chat_messages', and 'search_docs', all of which are read operations.
From the tool's definition Tool name 'list_calendars' and description '获取飞书日历列表' (get Feishu calendar list) indicate data retrieval with no modification capability.
Attacks that exploit this kind of access
获取飞书日历列表. 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 list_calendars: 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.
list_calendars 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 list_calendars 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 list_calendars. 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.
list_calendars 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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