teammate_enable_optimizers

Enable BMSSP-powered optimization for team topology and task routing.

Server Claude Flow claude-flow
Category Execute
Risk class High
Parameters 00 required

What teammate_enable_optimizers does on Claude Flow

AI agents invoke teammate_enable_optimizers to trigger actions in Claude Flow. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

Why teammate_enable_optimizers needs a policy

This tool activates an optimization engine (BMSSP) that modifies how tasks are routed and how the team topology is structured. This is not a simple read or write of a data record — it triggers execution of an optimization algorithm that reconfigures operational behavior of the swarm/agent system.

From the tool's definition 'Enable BMSSP-powered optimization for team topology and task routing' — triggers an optimization process that actively reconfigures team topology and task routing behavior

Questions about teammate_enable_optimizers

What does the teammate_enable_optimizers tool do? +

Enable BMSSP-powered optimization for team topology and task routing. It is categorised as a Execute tool in the Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on teammate_enable_optimizers? +

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

teammate_enable_optimizers is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit teammate_enable_optimizers? +

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

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

teammate_enable_optimizers 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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