optimize_mesh_for_simulation · MCP-Blender MCP

WHAT IT DOES

What optimize_mesh_for_simulation does on MCP-Blender

AI agents invoke optimize_mesh_for_simulation to trigger actions in MCP-Blender. 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 IT NEEDS A POLICY

Why optimize_mesh_for_simulation needs a policy

This tool modifies mesh topology (an in-Blender transformation), which constitutes executing an operation that restructures 3D geometry. While it could be considered Write (modifying data), the fact that it runs an optimization algorithm/process against mesh data for simulation purposes puts it in the Execute category.

From the tool's definition 'Optimize mesh topology for electrical simulation and real-time rendering' — performs active mesh transformation/processing operations within Blender

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

optimize_mesh_for_simulation Rate-limited

optimize_mesh_for_simulation 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "optimize_mesh_for_simulation": {
      "limits": [
        {
          "counter": "optimize_mesh_for_simulation_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP-Blender, so you can run agents against it safely.

FAQ

Questions about optimize_mesh_for_simulation

What does the optimize_mesh_for_simulation tool do? +

Optimize mesh topology for electrical simulation and real-time rendering. It is categorised as a Execute tool in the MCP-Blender MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on optimize_mesh_for_simulation? +

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

What risk level is optimize_mesh_for_simulation? +

optimize_mesh_for_simulation is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit optimize_mesh_for_simulation? +

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

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

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

// THE FULL RECORD

optimize_mesh_for_simulation is one line of MCP-Blender's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

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