This record as markdown: /tools/eda-agent/app-run-menu.md
What app_run_menu does on Eda Agent
AI agents invoke app_run_menu 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 app_run_menu is rated High
A menu-execution function in a design automation context can invoke arbitrary operations (schematic changes, PCB modifications, library edits) whose effects depend on which menu item is selected. This constitutes code/command execution.
From the tool's definition Tool name 'app_run_menu' combined with server description indicating 'persistent DelphiScript bridge' and 'autonomous design-plan executor' suggests execution of menu commands in Altium Designer, which can trigger arbitrary design operations.
Attacks that exploit this kind of access
The rule that runs app_run_menu 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 app_run_menu, this is the rule to start with:
app_run_menu 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 app_run_menu call is checked against it from then on.
Questions about app_run_menu
app_run_menu 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 app_run_menu: 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.
app_run_menu 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 app_run_menu 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 app_run_menu. 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.
app_run_menu 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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