blender_vision_refine

A other tool on the Blender MCP server.

SERVERBlender SOURCEsandraschi/blender-mcp

Low RISK CLASS

Category Other

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/sandraschi-blender-mcp/blender-vision-refine.md

WHAT IT DOES

What blender_vision_refine does on Blender

AI agents call blender_vision_refine as a supporting operation in Blender workflows.

RISK

Why blender_vision_refine is rated Low

With no description available, the tool's actual behavior cannot be determined. The name suggests a refinement operation (possibly image/render refinement) in Blender, but without more information it cannot be confidently placed in any specific risk category. Confidence is very low.

From the tool's definition Tool description is empty and uninformative; the name 'blender_vision_refine' suggests some kind of refinement operation in Blender, possibly visual/render-related, but no concrete behavior can be determined.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs blender_vision_refine safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Blender, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For blender_vision_refine, this is the rule to start with:

blender_vision_refine Rate-limited

blender_vision_refine gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "blender_vision_refine": {
      "limits": [
        {
          "counter": "blender_vision_refine_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Blender, apply this rule, and every blender_vision_refine call is checked against it from then on.

FAQ

Questions about blender_vision_refine

What does the blender_vision_refine tool do? +

blender_vision_refine is a other tool on the Blender MCP server. It is categorised as a Other tool in the Blender MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on blender_vision_refine? +

Register the Blender MCP server in PolicyLayer and add a rule for blender_vision_refine: 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 Blender. Nothing to install.

What risk level is blender_vision_refine? +

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

Can I rate-limit blender_vision_refine? +

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

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

blender_vision_refine is provided by the Blender MCP server (sandraschi/blender-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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