federation_consensus · Ruflo MCP: Risk & Policy

WHAT IT DOES

What federation_consensus does on Ruflo

AI agents invoke federation_consensus 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 federation_consensus needs a policy

This tool triggers a distributed coordination operation across all active peer agents in the swarm. It initiates an external, multi-system operation whose effects depend on what consensus is being proposed and the state of the peer network.

From the tool's definition "Propose a federated consensus operation across all active peers"

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

federation_consensus Rate-limited

federation_consensus 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": {
    "federation_consensus": {
      "limits": [
        {
          "counter": "federation_consensus_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 federation_consensus

What does the federation_consensus tool do? +

Propose a federated consensus operation across all active peers. 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 federation_consensus? +

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

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

Can I rate-limit federation_consensus? +

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

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

federation_consensus 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.

// THE FULL RECORD

federation_consensus is one line of Ruflo's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →