coordination_metrics
Get coordination metrics Use when native Task is wrong because the work crosses multiple agents that need to vote/sync/load-balance — TodoWrite + a single Task cannot orchestrate consensus. For one-off subtask dispatch, native Task is fine.
This record as markdown: /tools/io-github-ruvnet-claude-flow/coordination-metrics.md
What coordination_metrics does on Claude Flow
AI agents call coordination_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 coordination_metrics is rated Low
This tool retrieves telemetry/monitoring data about agent coordination (voting, sync, load-balancing consensus). It is purely informational—an agent querying it observes system state without triggering side effects. The description explicitly contrasts it with task dispatch/orchestration (which would be Execute or Write), positioning it as a diagnostic/observability tool.
From the tool's definition Tool name includes 'metrics' and description states 'Get coordination metrics' — a retrieval operation. No data modification, deletion, execution of external code, or financial transaction occurs.
Attacks that exploit this kind of access
The rule that runs coordination_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 coordination_metrics, this is the rule to start with:
coordination_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 coordination_metrics call is checked against it from then on.
Questions about coordination_metrics
Get coordination metrics Use when native Task is wrong because the work crosses multiple agents that need to vote/sync/load-balance — TodoWrite + a single Task cannot orchestrate consensus. For one-off subtask dispatch, native Task is fine. 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 coordination_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.
coordination_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 coordination_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 coordination_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.
coordination_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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