promote_vlm_finding_to_validation_issue
Copy selected VLM findings into the cached validation report.
This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/promote-vlm-finding-to-validation-issue.md
What promote_vlm_finding_to_validation_issue does on Pypi:best Cad
AI agents use promote_vlm_finding_to_validation_issue to create or update resources in Pypi:best Cad, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pypi:best Cad environment.
Why promote_vlm_finding_to_validation_issue is rated Medium
The tool performs a write action by copying VLM (presumably Vision Language Model) findings into a validation report, which modifies the state of the report. This is reversible (findings can be removed or the report regenerated) and has no financial impact, permanent deletion, or code execution capability.
From the tool's definition Tool description states 'Copy selected VLM findings into the cached validation report' — this creates or modifies data in the validation report through a copy/write operation.
Attacks that exploit this kind of access
The rule that runs promote_vlm_finding_to_validation_issue 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 promote_vlm_finding_to_validation_issue, this is the rule to start with:
promote_vlm_finding_to_validation_issue stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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 promote_vlm_finding_to_validation_issue call is checked against it from then on.
Questions about promote_vlm_finding_to_validation_issue
Copy selected VLM findings into the cached validation report. It is categorised as a Write tool in the Pypi:best Cad MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for promote_vlm_finding_to_validation_issue: 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.
promote_vlm_finding_to_validation_issue is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the promote_vlm_finding_to_validation_issue 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 promote_vlm_finding_to_validation_issue. 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.
promote_vlm_finding_to_validation_issue 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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