AI agents call pingcode_get_current_user to retrieve information from Pingcode without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user information without modifying, deleting, or executing any operations. It is a simple read operation that returns metadata about the currently authenticated user, posing minimal security risk.
From the tool's definition Tool name is 'pingcode_get_current_user' and description states '当需要获取PingCode当前登录用户信息的时候，调用此工具' (when you need to get the current logged-in user information in PingCode, call this tool).
Attacks that exploit this kind of access
当需要获取PingCode当前登录用户信息的时候，调用此工具。. It is categorised as a Read tool in the Pingcode MCP Server, which means it retrieves data without modifying state.
Register the Pingcode MCP server in PolicyLayer and add a rule for pingcode_get_current_user: 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 Pingcode. Nothing to install.
pingcode_get_current_user 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 pingcode_get_current_user 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 pingcode_get_current_user. 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.
pingcode_get_current_user is provided by the Pingcode MCP server (pingcode-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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