swarm_status

SERVERRuflo SOURCEruvnet/ruflo

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/ruflo/swarm-status.md

WHAT IT DOES

What swarm_status does on Ruflo

AI agents call swarm_status to retrieve information from Ruflo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why swarm_status is rated Low

This tool queries and returns status information about an agent swarm from persistent storage. It performs no modifications, deletions, code execution, or financial operations. The output is informational only, used to understand the current state of multi-agent coordination.

From the tool's definition Tool name 'swarm_status' and description 'Get swarm status from persistent state' indicates a retrieval/query operation with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs swarm_status safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For swarm_status, this is the rule to start with:

swarm_status Allowed

swarm_status 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": {
    "swarm_status": {}
  }
}

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

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

FAQ

Questions about swarm_status

What does the swarm_status tool do? +

Get swarm status from persistent state Use when native Task tool is wrong because you need multi-agent coordination — topology (hierarchical/mesh/star), consensus (raft/byzantine/gossip/crdt/quorum), shared memory namespace, or anti-drift gates. For independent one-shot subagents, native Task is fine; spawn each separately. It is categorised as a Read tool in the Ruflo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on swarm_status? +

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

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

Can I rate-limit swarm_status? +

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

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

swarm_status 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.

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