Analyze traces across a time window to surface patterns: most common failure steps, average latency per step type, token cost hot-spots, and retry rates.
AI agents call trace_analyze to retrieve information from Scan Your Ai Toolkit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and aggregates telemetry/observability data to generate insights. It does not create, modify, delete, or execute operations—only queries and reports on existing traces. The blast radius of misuse is limited to information disclosure of performance and cost metrics, which is a low-severity read operation.
From the tool's definition The tool 'analyze traces across a time window to surface patterns' performs analysis and reporting on existing trace data.
Attacks that exploit this kind of access
Analyze traces across a time window to surface patterns: most common failure steps, average latency per step type, token cost hot-spots, and retry rates. It is categorised as a Read tool in the Scan Your Ai Toolkit MCP Server, which means it retrieves data without modifying state.
Register the Scan Your Ai Toolkit MCP server in PolicyLayer and add a rule for trace_analyze: 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 Scan Your Ai Toolkit. Nothing to install.
trace_analyze 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 trace_analyze 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 trace_analyze. 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.
trace_analyze is provided by the Scan Your Ai Toolkit MCP server (sakthivelchan89/scan_your_ai_toolkit). 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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