execute_job · Opus MCP Server MCP: Risk & Policy

WHAT IT DOES

What execute_job does on Opus MCP Server

AI agents invoke execute_job to trigger actions in Opus MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why execute_job needs a policy

This tool triggers the execution of jobs in an external workflow automation platform (Opus). While the tool itself does not delete data or move money, it initiates operations whose real-world effects depend on user-supplied inputs and the configured workflows. This makes it Execute rather than Write—the tool invokes external processes rather than merely creating/modifying data.

From the tool's definition Tool name 'execute_job' and description 'Execute a job' indicate the tool runs/triggers external operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_job Rate-limited

execute_job stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_job": {
      "limits": [
        {
          "counter": "execute_job_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about execute_job

What does the execute_job tool do? +

Execute a job with populated input values. Use jobPayloadSchema from get_workflow_details to structure inputs correctly. It is categorised as a Execute tool in the Opus MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_job? +

Register the Opus MCP Server MCP server in PolicyLayer and add a rule for execute_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 Opus MCP Server. Nothing to install.

What risk level is execute_job? +

execute_job is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_job? +

Yes. Add a rate_limit block to the execute_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 execute_job completely? +

Set action: deny in the PolicyLayer policy for execute_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 execute_job? +

execute_job is provided by the Opus MCP Server MCP server (moenamatics/opus-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.