proj_run_output
A execute tool on the Eda Agent MCP server.
This record as markdown: /tools/eda-agent/proj-run-output.md
What proj_run_output does on Eda Agent
AI agents invoke proj_run_output 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_output is rated High
The tool description is empty, which lowers confidence slightly, but the name 'run_output' combined with the server's role as an automation bridge over DelphiScript strongly indicates this executes external operations (design compilation, artifact generation, or fabrication file production). These have side effects dependent on arguments and cannot always be easily reversed.
From the tool's definition Tool name 'proj_run_output' suggests execution of a project output operation. Given the server context (Altium Designer automation with 290+ tools for design/PCB workflows), 'run_output' likely triggers code generation, file exports, or design rule checks…
Attacks that exploit this kind of access
The rule that runs proj_run_output 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_output, this is the rule to start with:
proj_run_output 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_output call is checked against it from then on.
Questions about proj_run_output
proj_run_output 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_output: 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_output 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_output 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_output. 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_output 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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