This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/zoom-scale.md
What zoom_scale does on Pypi:best Cad
AI agents invoke zoom_scale 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 zoom_scale is rated High
This tool triggers an external operation (viewport zoom/scale) in AutoCAD whose effects depend on the scale argument provided. It is an Execute-category action because it performs a real-time operation on the CAD environment, though it is reversible (user can zoom back out) and non-destructive to the actual drawing data.
From the tool's definition Tool name 'zoom_scale' with description '按比例缩放视图' (zoom/scale view by ratio). This performs a viewport transformation operation in AutoCAD, which is an interactive view manipulation that affects the display state and user interaction with the drawing.
Attacks that exploit this kind of access
The rule that runs zoom_scale 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 zoom_scale, this is the rule to start with:
zoom_scale 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 zoom_scale call is checked against it from then on.
Questions about zoom_scale
按比例缩放视图。. 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 zoom_scale: 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.
zoom_scale 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 zoom_scale 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 zoom_scale. 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.
zoom_scale 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.
More on Pypi:best Cad, and thousands of servers like it.
Across the catalogue