This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/zoom-all.md
What zoom_all does on Pypi:best Cad
AI agents invoke zoom_all 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_all is rated High
This tool executes a zoom/view operation in AutoCAD to fit the entire drawing area into the viewport. It triggers an external application action (AutoCAD display command) rather than simply reading or writing data. It has no destructive, financial, or data-modification effects, making severity low.
From the tool's definition 缩放到图形界限(显示整个绘图区域)— 'zoom to drawing limits' triggers a viewport/display operation in AutoCAD
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs zoom_all 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_all, this is the rule to start with:
zoom_all 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_all call is checked against it from then on.
Questions about zoom_all
缩放到图形界限(显示整个绘图区域)。. 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_all: 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_all 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_all 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_all. 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_all 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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