This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/polar-point.md
What polar_point does on Pypi:best Cad
AI agents call polar_point 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 polar_point is rated Low
This tool purely performs a geometric calculation to determine coordinates given a starting point, angle, and distance. It reads/computes data with no side effects, modifications, or destructive operations.
From the tool's definition 计算从起点出发,指定角度和距离的目标点坐标 (Calculates target point coordinates from a starting point at a specified angle and distance)
Attacks that exploit this kind of access
The rule that runs polar_point 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 polar_point, this is the rule to start with:
polar_point 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 polar_point call is checked against it from then on.
Questions about polar_point
计算从起点出发,指定角度和距离的目标点坐标。. 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 polar_point: 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.
polar_point 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 polar_point 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 polar_point. 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.
polar_point 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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