get_preferences_display

获取显示相关偏好设置(光标大小、布局选项卡等)。

SERVERPypi:best Cad SOURCEpypi:best-cad-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/get-preferences-display.md

What get_preferences_display does on Pypi:best Cad

AI agents call get_preferences_display to retrieve information from Pypi:best Cad without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_preferences_display is rated Low

This tool retrieves display-related preferences (cursor size, layout options, etc.) from AutoCAD without creating, modifying, deleting, or executing any operations. It is a read-only query with no actionable side effects. The low severity reflects minimal risk even if misused by an AI agent, as it only exposes user preference data.

From the tool's definition Tool name 'get_preferences_display' and description '获取显示相关偏好设置(光cursor size, layout tabs, etc.)' indicate retrieval of display preferences without modification or side effects.

Questions about get_preferences_display

What does the get_preferences_display tool do? +

获取显示相关偏好设置(光标大小、布局选项卡等)。. It is categorised as a Read tool in the Pypi:best Cad MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_preferences_display? +

Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for get_preferences_display: 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.

What risk level is get_preferences_display? +

get_preferences_display is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_preferences_display? +

Yes. Add a rate_limit block to the get_preferences_display 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.

How do I block get_preferences_display completely? +

Set action: deny in the PolicyLayer policy for get_preferences_display. 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.

What MCP server provides get_preferences_display? +

get_preferences_display 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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