execute_cad_plan
Execute a guarded CAD plan only when allow_modify=True.
This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/execute-cad-plan.md
What execute_cad_plan does on Pypi:best Cad
AI agents invoke execute_cad_plan to trigger actions in Pypi:best Cad. 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 execute_cad_plan is rated High
This tool triggers external CAD operations (drawing modifications, dimension additions, hatching, etc., as evidenced by sibling tools on the server). These are programmatic actions whose consequences depend on the arguments passed to the plan—matching the Execute category.
From the tool's definition Tool name 'execute_cad_plan' and description 'Execute a guarded CAD plan' indicate runtime execution of CAD operations.
Attacks that exploit this kind of access
The rule that runs execute_cad_plan safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:best Cad, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For execute_cad_plan, this is the rule to start with:
execute_cad_plan 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 Pypi:best Cad, apply this rule, and every execute_cad_plan call is checked against it from then on.
Questions about execute_cad_plan
Execute a guarded CAD plan only when allow_modify=True. It is categorised as a Execute tool in the Pypi:best Cad MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for execute_cad_plan: 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 Pypi:best Cad. Nothing to install.
execute_cad_plan 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 execute_cad_plan 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 execute_cad_plan. 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.
execute_cad_plan is provided by the Pypi:best Cad MCP server (pypi:best-cad-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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