evaluate_vlm_grounding

Score persisted VLM findings against expected handles and issue labels.

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/evaluate-vlm-grounding.md

What evaluate_vlm_grounding does on Pypi:best Cad

AI agents call evaluate_vlm_grounding 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 evaluate_vlm_grounding is rated Low

The tool reads/evaluates already-persisted VLM findings and scores them against expected values. This is a read/query operation with no apparent side effects — it retrieves and compares data rather than creating, modifying, or deleting anything. Confidence is moderate because the description is brief and 'persisted' could imply some write-back of scores, but the primary action described is scoring/evaluation.

From the tool's definition Score persisted VLM findings against expected handles and issue labels

Questions about evaluate_vlm_grounding

What does the evaluate_vlm_grounding tool do? +

Score persisted VLM findings against expected handles and issue labels. 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 evaluate_vlm_grounding? +

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

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

Can I rate-limit evaluate_vlm_grounding? +

Yes. Add a rate_limit block to the evaluate_vlm_grounding 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 evaluate_vlm_grounding completely? +

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

evaluate_vlm_grounding 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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