teammate_enable_optimizers · Ruflo MCP: Risk & Policy

WHAT IT DOES

What teammate_enable_optimizers does on Ruflo

AI agents invoke teammate_enable_optimizers to trigger actions in Ruflo. 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 IT NEEDS A POLICY

Why teammate_enable_optimizers needs a policy

This tool activates an optimization engine (BMSSP) that dynamically alters team topology and task routing behavior. It doesn't merely read data or write a static record — it triggers an ongoing external operation that changes how autonomous agent swarms coordinate and route tasks. In a multi-agent harness of this complexity, misconfiguration could cause widespread misbehavior across swarms, warranting high severity.

From the tool's definition 'Enable BMSSP-powered optimization for team topology and task routing' — triggers an optimization process that modifies how agents are routed and teams are structured

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

teammate_enable_optimizers Rate-limited

teammate_enable_optimizers stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "teammate_enable_optimizers": {
      "limits": [
        {
          "counter": "teammate_enable_optimizers_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Ruflo, so you can run agents against it safely.

FAQ

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 Ruflo 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 Ruflo 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 Ruflo. 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 Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.