AI agents call get_task_detail to retrieve information from Xingzi without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and displays information about campaign tasks. It does not create, modify, delete, execute code, or perform financial transactions. It is a straightforward data retrieval function that poses minimal security risk if called by an AI agent, as it cannot alter state or cause harm beyond information disclosure.
From the tool's definition Tool name 'get_task_detail' and description indicating it retrieves task details including participant count, receipt status, and reward status.
Attacks that exploit this kind of access
查看任务详情（领取人数、回执情况、奖励状态）. It is categorised as a Read tool in the Xingzi MCP Server, which means it retrieves data without modifying state.
Register the Xingzi MCP server in PolicyLayer and add a rule for get_task_detail: 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 Xingzi. Nothing to install.
get_task_detail 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 get_task_detail 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 get_task_detail. 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.
get_task_detail is provided by the Xingzi MCP server (yylwdyx-commits/xingzi-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.
Teams ship this data inside their own products. See what a licence covers →