submit_slurm_job

Submit a job script to the Slurm scheduler with resource requirements.

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-slurm-job.md

WHAT IT DOES

What submit_slurm_job does on CLIO Adios

AI agents invoke submit_slurm_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_slurm_job is rated High

This tool submits a job to the Slurm workload manager, which executes arbitrary code/scripts on cluster compute nodes. The effects depend entirely on the submitted script contents, which could run any computation, consume significant HPC resources, or trigger downstream processes.

From the tool's definition Submit a job script to the Slurm scheduler with resource requirements

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs submit_slurm_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_slurm_job, this is the rule to start with:

submit_slurm_job Rate-limited

submit_slurm_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_slurm_job": {
      "limits": [
        {
          "counter": "submit_slurm_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_slurm_job call is checked against it from then on.

FAQ

Questions about submit_slurm_job

What does the submit_slurm_job tool do? +

Submit a job script to the Slurm scheduler with resource requirements. 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_slurm_job? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for submit_slurm_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_slurm_job? +

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

Can I rate-limit submit_slurm_job? +

Yes. Add a rate_limit block to the submit_slurm_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_slurm_job completely? +

Set action: deny in the PolicyLayer policy for submit_slurm_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_slurm_job? +

submit_slurm_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.

KEEP EXPLORING

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