Get performance metrics for agents (V2 compatible). Deprecated: Use agent/status with includeMetrics instead.
AI agents call agent_metrics to retrieve information from Claude Flow without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns performance data about agents without creating, modifying, deleting, or executing any operations. It is a read-only diagnostic function with minimal blast radius if misused by an agent.
From the tool's definition Tool description states "Get performance metrics for agents" — a retrieval operation with no modification or side effects. The deprecation note reinforces it is informational only.
Attacks that exploit this kind of access
Get performance metrics for agents (V2 compatible). Deprecated: Use agent/status with includeMetrics instead. 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 agent_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.
agent_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 agent_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 agent_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.
agent_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.