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performance_metrics

Get detailed performance metrics Use when native shell timing (

SERVERClaude Flow SOURCEclaude-flow
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ruvnet-claude-flow/performance-metrics.md

What performance_metrics does on Claude Flow

AI agents call performance_metrics to retrieve information from Claude Flow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why performance_metrics is rated Low

The tool is described as getting/reading performance metrics, which is a read-only operation. The description appears truncated after 'native shell timing (' which slightly reduces confidence, but the core action is clearly data retrieval. Misuse potential is low as it only reads metrics.

From the tool's definition 'Get detailed performance metrics' — retrieves/queries performance data; no side effects indicated

Questions about performance_metrics

What does the performance_metrics tool do? +

Get detailed performance metrics Use when native shell timing (. It is categorised as a Read tool in the Claude Flow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on performance_metrics? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for performance_metrics: 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 Flow. Nothing to install.

What risk level is performance_metrics? +

performance_metrics is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit performance_metrics? +

Yes. Add a rate_limit block to the performance_metrics 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.

How do I block performance_metrics completely? +

Set action: deny in the PolicyLayer policy for performance_metrics. 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.

What MCP server provides performance_metrics? +

performance_metrics is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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