remove_workers · Freelo MCP Server MCP: Risk & Policy

WHAT IT DOES

What remove_workers does on Freelo MCP Server

AI agents use remove_workers to create or update resources in Freelo MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Freelo MCP Server environment.

WHY IT NEEDS A POLICY

Why remove_workers needs a policy

Based on the tool name alone, 'remove_workers' likely unassigns or removes workers/members from tasks or projects in Freelo. This is a reversible write operation (workers can be re-added), placing it in the Write category. However, confidence is low due to the empty description. Severity is medium because misuse could disrupt team assignments and project workflows.

From the tool's definition Tool name 'remove_workers' suggests removing worker assignments from tasks or projects; description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

remove_workers Rate-limited

remove_workers 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": {
    "remove_workers": {
      "limits": [
        {
          "counter": "remove_workers_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Freelo MCP Server, so you can run agents against it safely.

FAQ

Questions about remove_workers

What does the remove_workers tool do? +

remove_workers. It is categorised as a Write tool in the Freelo MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on remove_workers? +

Register the Freelo MCP Server MCP server in PolicyLayer and add a rule for remove_workers: 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 Freelo MCP Server. Nothing to install.

What risk level is remove_workers? +

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

Can I rate-limit remove_workers? +

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

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

remove_workers is provided by the Freelo MCP Server MCP server (m-hlpr/freelo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.