AI agents call lark_get_task_status to retrieve information from Feishu Enhance without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves the status of existing async tasks without modifying, executing, or deleting anything. It is purely informational and poses minimal security risk—an agent could only learn the state of tasks that already exist. No side effects, financial impact, or destructive capabilities are present.
From the tool's definition Tool name and description indicate a query operation: 'get_task_status' (retrieves state) and '查询异步任务状态' (Chinese: 'query async task status'). The description explicitly uses '查询' (query/check), a read-only verb.
Documented attack patterns abuse exactly the kind of access lark_get_task_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Feishu Enhance, and nothing reaches the server without passing your rules. This is the rule we recommend for lark_get_task_status:
{
"version": "1",
"default": "deny",
"tools": {
"lark_get_task_status": {}
}
}lark_get_task_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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查询异步任务状态. It is categorised as a Read tool in the Feishu Enhance MCP Server, which means it retrieves data without modifying state.
Register the Feishu Enhance MCP server in PolicyLayer and add a rule for lark_get_task_status: 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 Enhance. Nothing to install.
lark_get_task_status 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 lark_get_task_status 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 lark_get_task_status. 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.
lark_get_task_status is provided by the Feishu Enhance MCP server (jiaxinghit/feishu-enhance-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Feishu Enhance, 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.
24 Feishu Enhance tools catalogued and risk-classified — across an index of 43,000+ MCP servers.