This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/restore-named-view.md
What restore_named_view does on Pypi:best Cad
AI agents invoke restore_named_view 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 restore_named_view is rated High
This tool restores/activates a named view in AutoCAD, changing the active viewport/display state. It triggers an external operation in the CAD application (changing the current view), which is an Execute-level action. It doesn't delete data (not Destructive) or create/modify geometry (not Write), but it does alter the application state by switching to a saved named view.
From the tool's definition 恢复到之前保存的命名视图 (Restore to a previously saved named view)
Attacks that exploit this kind of access
The rule that runs restore_named_view 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 restore_named_view, this is the rule to start with:
restore_named_view 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 restore_named_view call is checked against it from then on.
Questions about restore_named_view
恢复到之前保存的命名视图。. 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 restore_named_view: 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.
restore_named_view 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 restore_named_view 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 restore_named_view. 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.
restore_named_view 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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