hive-mind_leave

SERVERRuflo SOURCEruvnet/ruflo

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ruflo/hive-mind-leave.md

WHAT IT DOES

What hive-mind_leave does on Ruflo

AI agents use hive-mind_leave to create or update resources in Ruflo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ruflo environment.

RISK

Why hive-mind_leave is rated Medium

The tool removes an agent from a hive-mind collective, which is a reversible modification to the swarm's membership state (the agent can presumably be re-added). It is not irreversible data destruction, code execution, or financial in nature.

From the tool's definition Remove an agent from the hive-mind

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs hive-mind_leave 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 hive-mind_leave, this is the rule to start with:

hive-mind_leave Rate-limited

hive-mind_leave stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "hive-mind_leave": {
      "limits": [
        {
          "counter": "hive-mind_leave_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about hive-mind_leave

What does the hive-mind_leave tool do? +

Remove an agent from the hive-mind Use when native Task is wrong because you need queen-led collective intelligence — Byzantine-FT consensus, broadcast across many worker agents, shared memory with bounded conflict. For a single subagent, native Task is fine. Pair with swarm_init first to set topology. It is categorised as a Write tool in the Ruflo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on hive-mind_leave? +

Register the Ruflo MCP server in PolicyLayer and add a rule for hive-mind_leave: 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 hive-mind_leave? +

hive-mind_leave is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit hive-mind_leave? +

Yes. Add a rate_limit block to the hive-mind_leave 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 hive-mind_leave completely? +

Set action: deny in the PolicyLayer policy for hive-mind_leave. 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 hive-mind_leave? +

hive-mind_leave 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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