proj_run_outjob_all
A execute tool on the Eda Agent MCP server.
This record as markdown: /tools/eda-agent/proj-run-outjob-all.md
What proj_run_outjob_all does on Eda Agent
AI agents invoke proj_run_outjob_all to trigger actions in Eda Agent. 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 proj_run_outjob_all is rated High
The tool executes output job generation/rendering operations across an entire project, which are external operations whose effects depend on project state and job configurations. This is Execute rather than Write because it triggers pre-configured automated processes rather than creating/modifying design data directly.
From the tool's definition Tool name 'proj_run_outjob_all' suggests running all output jobs in a project. The verb 'run' combined with 'outjob' (Altium Designer's output job configuration) indicates execution of external operations or build processes.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs proj_run_outjob_all safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Eda Agent, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For proj_run_outjob_all, this is the rule to start with:
proj_run_outjob_all 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 Eda Agent, apply this rule, and every proj_run_outjob_all call is checked against it from then on.
Questions about proj_run_outjob_all
proj_run_outjob_all is a execute tool on the Eda Agent MCP server. It is categorised as a Execute tool in the Eda Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Eda Agent MCP server in PolicyLayer and add a rule for proj_run_outjob_all: 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 Eda Agent. Nothing to install.
proj_run_outjob_all 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 proj_run_outjob_all 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 proj_run_outjob_all. 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.
proj_run_outjob_all is provided by the Eda Agent MCP server (salitronic/eda-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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