performance_trace_status
List active performance traces and the remaining capture window.
This record as markdown: /tools/alexgladkov-claude-in-mobile/performance-trace-status.md
What performance_trace_status does on Claude Mobile
AI agents call performance_trace_status to retrieve information from Claude Mobile without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why performance_trace_status is rated Low
Read-only tool that queries status of performance traces without modifying anything.
From the tool's definition List active performance traces and the remaining capture window
Attacks that exploit this kind of access
The rule that runs performance_trace_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Mobile, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For performance_trace_status, this is the rule to start with:
performance_trace_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Claude Mobile, apply this rule, and every performance_trace_status call is checked against it from then on.
Questions about performance_trace_status
List active performance traces and the remaining capture window. It is categorised as a Read tool in the Claude Mobile MCP Server, which means it retrieves data without modifying state.
Register the Claude Mobile MCP server in PolicyLayer and add a rule for performance_trace_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 Claude Mobile. Nothing to install.
performance_trace_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 performance_trace_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 performance_trace_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.
performance_trace_status is provided by the Claude Mobile MCP server (alexgladkov/claude-in-mobile). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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