close_job · Unipile MCP: Risk & Policy

WHAT IT DOES

What close_job does on Unipile

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

WHY IT NEEDS A POLICY

Why close_job needs a policy

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

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

close_job Rate-limited

close_job 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": {
    "close_job": {
      "limits": [
        {
          "counter": "close_job_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 Unipile, so you can run agents against it safely.

FAQ

Questions about close_job

What does the close_job tool do? +

Close an active LinkedIn job posting. It is categorised as a Write tool in the Unipile MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on close_job? +

Register the Unipile MCP server in PolicyLayer and add a rule for close_job: 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 Unipile. Nothing to install.

What risk level is close_job? +

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

Can I rate-limit close_job? +

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

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

close_job is provided by the Unipile MCP server (sundeepg98/mcp-server-unipile). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.