ollama_enqueue_job_from_template

WHAT IT DOES

What ollama_enqueue_job_from_template does on Promethean OS MCP

AI agents invoke ollama_enqueue_job_from_template to trigger actions in Promethean OS MCP. 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 ollama_enqueue_job_from_template needs a policy

This tool triggers execution of a named template, which is an external operation. The effects depend on what the template contains and its parameters. While the tool itself doesn't directly run shell commands or code (unlike exec_run on the same server), it queues asynchronous job execution, making it an Execute category rather than Write.

From the tool's definition Tool description states "Queue a job that will execute a named template" — the verb "execute" and the action of queuing a template for execution indicates triggering external operations whose effects depend on arguments (the template name and parameters).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ollama_enqueue_job_from_template Rate-limited

ollama_enqueue_job_from_template 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": {
    "ollama_enqueue_job_from_template": {
      "limits": [
        {
          "counter": "ollama_enqueue_job_from_template_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 Promethean OS MCP, so you can run agents against it safely.

FAQ

Questions about ollama_enqueue_job_from_template

What does the ollama_enqueue_job_from_template tool do? +

Queue a job that will execute a named template. It is categorised as a Execute tool in the Promethean OS MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ollama_enqueue_job_from_template? +

Register the Promethean OS MCP server in PolicyLayer and add a rule for ollama_enqueue_job_from_template: 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 Promethean OS MCP. Nothing to install.

What risk level is ollama_enqueue_job_from_template? +

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

Can I rate-limit ollama_enqueue_job_from_template? +

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

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

ollama_enqueue_job_from_template is provided by the Promethean OS MCP server (octave-commons/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.