This record as markdown: /tools/io-github-portel-dev-ncp/submit-job.md
What submit_job does on Ncp
AI agents invoke submit_job to trigger actions in Ncp. 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 submit_job is rated High
Submitting a job to Nomad causes the cluster to schedule and run workloads (containers, binaries, etc.). This is an Execute-category action because it triggers external operations whose effects depend on the job specification provided. Severity is high because a misused job submission could run arbitrary workloads, consume cluster resources, or cause cascading failures across the infrastructure.
From the tool's definition 'Submit job to Nomad cluster' — submitting a job triggers external execution of workloads on a Nomad cluster
Attacks that exploit this kind of access
The rule that runs submit_job safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ncp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For submit_job, this is the rule to start with:
submit_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ncp, apply this rule, and every submit_job call is checked against it from then on.
Questions about submit_job
Submit job to Nomad cluster. It is categorised as a Execute tool in the Ncp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ncp 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 Ncp. Nothing to install.
submit_job is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
submit_job is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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