submit_array_job

Submit a Slurm array job for parallel task execution.

SERVERCLIO Adios SOURCEpypi:clio-kit

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/submit-array-job.md

WHAT IT DOES

What submit_array_job does on CLIO Adios

AI agents invoke submit_array_job to trigger actions in CLIO Adios. 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.

RISK

Why submit_array_job is rated High

This tool triggers execution of parallel tasks on a Slurm HPC cluster. Submitting array jobs initiates real compute workloads that consume cluster resources, run arbitrary code, and can have wide-ranging side effects depending on the job scripts. This is clearly Execute category with high severity due to the potential blast radius of running arbitrary parallel jobs on shared infrastructure.

From the tool's definition 'Submit a Slurm array job for parallel task execution' — submits and runs jobs on a cluster scheduler

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs submit_array_job safely

PolicyLayer is an MCP gateway: it sits between your AI agents and CLIO Adios, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For submit_array_job, this is the rule to start with:

submit_array_job Rate-limited

submit_array_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": {
    "submit_array_job": {
      "limits": [
        {
          "counter": "submit_array_job_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every submit_array_job call is checked against it from then on.

FAQ

Questions about submit_array_job

What does the submit_array_job tool do? +

Submit a Slurm array job for parallel task execution. It is categorised as a Execute tool in the CLIO Adios MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on submit_array_job? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for submit_array_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 CLIO Adios. Nothing to install.

What risk level is submit_array_job? +

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

Can I rate-limit submit_array_job? +

Yes. Add a rate_limit block to the submit_array_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_array_job completely? +

Set action: deny in the PolicyLayer policy for submit_array_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_array_job? +

submit_array_job is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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