teammate_approve_plan · Ruflo MCP: Risk & Policy

WHAT IT DOES

What teammate_approve_plan does on Ruflo

AI agents invoke teammate_approve_plan 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_approve_plan needs a policy

Approving a plan in an autonomous multi-agent orchestration context (swarms, autonomous workflows) causes downstream execution of potentially complex agent actions. The approval is the trigger that releases an autonomous workflow, making this Execute. The blast radius is high because approving an incorrect or malicious plan in a swarm system could cascade across multiple agents and workflows.

From the tool's definition Approve a submitted plan — triggers execution of a previously submitted plan in an autonomous multi-agent swarm system

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

teammate_approve_plan Rate-limited

teammate_approve_plan 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_approve_plan": {
      "limits": [
        {
          "counter": "teammate_approve_plan_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_approve_plan

What does the teammate_approve_plan tool do? +

Approve a submitted plan. 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_approve_plan? +

Register the Ruflo MCP server in PolicyLayer and add a rule for teammate_approve_plan: 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_approve_plan? +

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

Can I rate-limit teammate_approve_plan? +

Yes. Add a rate_limit block to the teammate_approve_plan 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_approve_plan completely? +

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

teammate_approve_plan 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.