This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/highlight-entities.md
What highlight_entities does on Pypi:best Cad
AI agents invoke highlight_entities to trigger actions in Pypi:best Cad. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why highlight_entities is rated High
Highlighting entities modifies the display state of CAD objects, which is an external operation executed within the AutoCAD environment. It is not a pure read (it changes state) but is also not destructive or write in the persistent sense. Execute best captures triggering an external application action.
From the tool's definition 批量高亮多个实体 (Batch highlight multiple entities) — triggers a visual/state change operation on CAD entities in AutoCAD
Attacks that exploit this kind of access
The rule that runs highlight_entities 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 highlight_entities, this is the rule to start with:
highlight_entities stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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 highlight_entities call is checked against it from then on.
Questions about highlight_entities
批量高亮多个实体。. It is categorised as a Execute tool in the Pypi:best Cad MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for highlight_entities: 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.
highlight_entities is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the highlight_entities 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 highlight_entities. 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.
highlight_entities 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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