run_output_jobs
Run specified output job containers
This record as markdown: /tools/altium-mcp-suite/run-output-jobs.md
What run_output_jobs does on Altium-MCP-Suite
AI agents invoke run_output_jobs to trigger actions in Altium-MCP-Suite. 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 run_output_jobs is rated High
This tool executes output job containers in Altium, which generates design outputs (Gerber files, PDFs, BOMs, etc.). The effects are dependent on what jobs are specified and their configuration—an AI agent could generate incorrect manufacturing files or documentation. While not immediately destructive or financial, execution of unvalidated jobs poses significant risk to design integrity and manufacturing accuracy.
From the tool's definition Tool name is 'run_output_jobs' with description 'Run specified output job containers'. The verb 'run' indicates execution of jobs, which are computational operations whose effects depend on job configuration and content.
Attacks that exploit this kind of access
The rule that runs run_output_jobs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Altium-MCP-Suite, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_output_jobs, this is the rule to start with:
run_output_jobs 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 Altium-MCP-Suite, apply this rule, and every run_output_jobs call is checked against it from then on.
Questions about run_output_jobs
Run specified output job containers. It is categorised as a Execute tool in the Altium-MCP-Suite MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Altium-MCP-Suite MCP server in PolicyLayer and add a rule for run_output_jobs: 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 Altium-MCP-Suite. Nothing to install.
run_output_jobs 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 run_output_jobs 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 run_output_jobs. 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.
run_output_jobs is provided by the Altium-MCP-Suite MCP server (M-R-Abedini/Altium-MCP-Suite). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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