AI agents call runcue_doctor to retrieve information from RunCue without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs diagnostic/inspection operations to check the state of the WDA setup. It reads and reports on configuration, device connectivity, and signing status without modifying any data or executing UI actions. Diagnostic tools are read-only by nature.
From the tool's definition Diagnose RunCue WDA setup... Use when runcue_run fails with device, signing, or WDA startup issues
Attacks that exploit this kind of access
Diagnose RunCue WDA setup for a simulator or physical iOS device. Use when runcue_run fails with device, signing, or WDA startup issues. It is categorised as a Read tool in the RunCue MCP Server, which means it retrieves data without modifying state.
Register the RunCue MCP server in PolicyLayer and add a rule for runcue_doctor: 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 RunCue. Nothing to install.
runcue_doctor 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 runcue_doctor 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 runcue_doctor. 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.
runcue_doctor is provided by the RunCue MCP server (lihei12345/runcue). 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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