teammate_cleanup

Cleanup team resources and save state

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/teammate-cleanup.md

WHAT IT DOES

What teammate_cleanup does on Ruflo

AI agents use teammate_cleanup 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 teammate_cleanup is rated Medium

An AI agent can call teammate_cleanup faster than any human can review: one bad instruction and it creates or modifies resources in Ruflo by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs teammate_cleanup 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 teammate_cleanup, this is the rule to start with:

teammate_cleanup Rate-limited

teammate_cleanup 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": {
    "teammate_cleanup": {
      "limits": [
        {
          "counter": "teammate_cleanup_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 teammate_cleanup call is checked against it from then on.

FAQ

Questions about teammate_cleanup

What does the teammate_cleanup tool do? +

Cleanup team resources and save state. 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 teammate_cleanup? +

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

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

Can I rate-limit teammate_cleanup? +

Yes. Add a rate_limit block to the teammate_cleanup 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_cleanup completely? +

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

teammate_cleanup 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.

KEEP EXPLORING

More on Ruflo, and thousands of servers like it.

This server

All 496 Ruflo tools →

Across the catalogue

The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →