explain_entity
Explain one scanned entity, including topology, nearby entities, and annotations.
This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/explain-entity.md
What explain_entity does on Pypi:best Cad
AI agents call explain_entity 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 explain_entity is rated Low
The tool retrieves and describes information about a CAD entity (topology, nearby entities, annotations) without modifying, creating, or deleting anything. Pure read/query operation.
From the tool's definition Explain one scanned entity, including topology, nearby entities, and annotations
Attacks that exploit this kind of access
The rule that runs explain_entity 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 explain_entity, this is the rule to start with:
explain_entity 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 explain_entity call is checked against it from then on.
Questions about explain_entity
Explain one scanned entity, including topology, nearby entities, and annotations. 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 explain_entity: 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.
explain_entity 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 explain_entity 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 explain_entity. 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.
explain_entity 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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