performance_metrics
Get detailed performance metrics Use when native shell timing (
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
Attacks that exploit this kind of access
The rule that runs performance_metrics safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For performance_metrics, this is the rule to start with:
performance_metrics 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 Flow, apply this rule, and every performance_metrics call is checked against it from then on.
Questions about performance_metrics
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.
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.
performance_metrics 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_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.
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.
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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