This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/get-preferences-user.md
What get_preferences_user does on Pypi:best Cad
AI agents call get_preferences_user 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_user is rated Low
This tool queries and retrieves user preference settings from AutoCAD without altering any data, executing commands, or triggering external operations. It is a passive information retrieval operation with minimal security risk—preferences are typically non-sensitive configuration data.
From the tool's definition Tool name 'get_preferences_user' and description '获取用户偏好设置' (Chinese: 'Get user preferences') indicate a read-only retrieval of user configuration/preference data with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs get_preferences_user 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 get_preferences_user, this is the rule to start with:
get_preferences_user is read-only, so it stays allowed. 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 get_preferences_user call is checked against it from then on.
Questions about get_preferences_user
获取用户偏好设置。. It is categorised as a Read tool in the Pypi:best Cad MCP Server, which means it retrieves data without modifying state.
Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for get_preferences_user: 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.
get_preferences_user is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_preferences_user 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 get_preferences_user. 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.
get_preferences_user 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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