Analyze an Xcode Instruments trace file for performance bottlenecks and generate recommendations
AI agents call analyze_trace to retrieve information from XcodeTraceMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes existing performance trace data to provide insights and recommendations. It has no side effects on the traced application, the trace files themselves, or any system state. It is purely an analytical/read operation over performance profiling data.
From the tool's definition The tool 'analyze_trace' takes an Xcode Instruments trace file as input and 'generate[s] recommendations' based on analysis.
Documented attack patterns abuse exactly the kind of access analyze_trace gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and XcodeTraceMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_trace:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_trace": {}
}
} analyze_trace is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze an Xcode Instruments trace file for performance bottlenecks and generate recommendations. It is categorised as a Read tool in the XcodeTraceMCP MCP Server, which means it retrieves data without modifying state.
Register the XcodeTrace MCP server in PolicyLayer and add a rule for analyze_trace: 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 XcodeTraceMCP. Nothing to install.
analyze_trace 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 analyze_trace 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 analyze_trace. 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.
analyze_trace is provided by the XcodeTrace MCP server (jamesrochabrun/xcodetracemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from XcodeTraceMCP, 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.
8 XcodeTraceMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.