This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/plot-to-device.md
What plot_to_device does on Pypi:best Cad
AI agents invoke plot_to_device 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 plot_to_device is rated High
Sending a job to a physical printer or plotter is an external operation with real-world side effects (paper, ink, plotter usage). It is not purely data manipulation; it triggers an external device. This qualifies as Execute. Misuse could waste physical resources or send sensitive drawings to unintended devices, hence high severity.
From the tool's definition "将当前布局发送到打印设备/绘图仪" — sends the current layout to a printing device/plotter, triggering an external physical operation
Attacks that exploit this kind of access
The rule that runs plot_to_device 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 plot_to_device, this is the rule to start with:
plot_to_device 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 plot_to_device call is checked against it from then on.
Questions about plot_to_device
将当前布局发送到打印设备/绘图仪。. 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 plot_to_device: 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.
plot_to_device 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 plot_to_device 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 plot_to_device. 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.
plot_to_device 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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