This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/send-command.md
What send_command does on Pypi:best Cad
AI agents invoke send_command 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 send_command is rated High
This tool sends arbitrary raw commands directly to AutoCAD's command line. Since it accepts unrestricted commands, it can trigger any AutoCAD operation including destructive ones (delete, erase, purge), file overwrites, or complex automation. The blast radius is critical because an AI agent could issue any command — including those that permanently alter or destroy CAD drawings.
From the tool's definition 向 AutoCAD 命令行发送原始命令 (Send raw commands to the AutoCAD command line)
Attacks that exploit this kind of access
The rule that runs send_command 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 send_command, this is the rule to start with:
send_command 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 send_command call is checked against it from then on.
Questions about send_command
向 AutoCAD 命令行发送原始命令。. 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 send_command: 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.
send_command 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 send_command 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 send_command. 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.
send_command 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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