This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/plot-preview.md
What plot_preview does on Pypi:best Cad
AI agents invoke plot_preview 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_preview is rated High
Opening a print preview window is an external operation that interacts with the AutoCAD application UI. It doesn't read/write data directly, nor is it destructive or financial, but it executes an action within the CAD environment. Description is minimal and in Chinese, slightly lowering confidence.
From the tool's definition 显示打印预览窗口 (Display print preview window) — triggers an external UI operation in AutoCAD
Attacks that exploit this kind of access
The rule that runs plot_preview 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_preview, this is the rule to start with:
plot_preview 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_preview call is checked against it from then on.
Questions about plot_preview
显示打印预览窗口。. 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_preview: 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_preview 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_preview 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_preview. 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_preview 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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