get_preference

A read tool on the Pypi:best Cad MCP server.

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-preference.md

What get_preference does on Pypi:best Cad

AI agents call get_preference 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_preference is rated Low

This tool retrieves preferences (likely AutoCAD settings or configuration) with no indication of side effects or data modification. Read operations have the lowest blast radius—misuse would expose settings but not alter system state or execute arbitrary code. The empty description reduces confidence slightly, but the naming convention is clear enough.

From the tool's definition Tool name 'get_preference' indicates retrieval of configuration or user settings without modification. Description is empty, limiting certainty, but the 'get_' prefix strongly suggests a read operation.

Questions about get_preference

What does the get_preference tool do? +

get_preference is a read tool on the Pypi:best Cad MCP server. 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_preference? +

Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for get_preference: 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_preference? +

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

Can I rate-limit get_preference? +

Yes. Add a rate_limit block to the get_preference 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_preference completely? +

Set action: deny in the PolicyLayer policy for get_preference. 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_preference? +

get_preference 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.

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