coordination_load_balance

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/coordination-load-balance.md

WHAT IT DOES

What coordination_load_balance does on Claude Flow

AI agents call coordination_load_balance 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.

RISK

Why coordination_load_balance is rated Low

Even though coordination_load_balance only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs coordination_load_balance 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_load_balance, this is the rule to start with:

coordination_load_balance Allowed

coordination_load_balance is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "coordination_load_balance": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude Flow, apply this rule, and every coordination_load_balance call is checked against it from then on.

FAQ

Questions about coordination_load_balance

What does the coordination_load_balance tool do? +

Configure load balancing 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.

How do I enforce a policy on coordination_load_balance? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for coordination_load_balance: 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 coordination_load_balance? +

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

Can I rate-limit coordination_load_balance? +

Yes. Add a rate_limit block to the coordination_load_balance 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 coordination_load_balance completely? +

Set action: deny in the PolicyLayer policy for coordination_load_balance. 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 coordination_load_balance? +

coordination_load_balance 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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