submit_job · Jungle Grid MCP: Risk & Policy

WHAT IT DOES

What submit_job does on Jungle Grid

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

WHY IT NEEDS A POLICY

Why submit_job needs a policy

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

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

submit_job Rate-limited

submit_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": {
    "submit_job": {
      "limits": [
        {
          "counter": "submit_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 Jungle Grid, so you can run agents against it safely.

FAQ

Questions about submit_job

What does the submit_job tool do? +

Submit a Jungle Grid workload for execution. This may start managed compute infrastructure and incur usage charges. It is categorised as a Write tool in the Jungle Grid MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on submit_job? +

Register the Jungle Grid MCP server in PolicyLayer and add a rule for submit_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 Jungle Grid. Nothing to install.

What risk level is submit_job? +

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

Can I rate-limit submit_job? +

Yes. Add a rate_limit block to the submit_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 submit_job completely? +

Set action: deny in the PolicyLayer policy for submit_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 submit_job? +

submit_job is provided by the Jungle Grid MCP server (jungle-grid/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.