Medium Risk

decimate_model

Reduce mesh complexity by decimating to a target face count.

How to control decimate_model ↓

What decimate_model does on Metashape MCP Server

AI agents use decimate_model to create or update resources in Metashape MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Metashape MCP Server environment.

Medium Risk

Why decimate_model needs a policy

Decimation modifies the 3D model by changing its geometry (reducing face count), but this operation is reversible—the original model can be reloaded or the decimation undone within Metashape. This makes it a Write operation rather than Destructive.

From the tool's definition Tool name 'decimate_model' combined with description 'Reduce mesh complexity by decimating to a target face count' indicates modification of 3D mesh data.

Documented attack patterns abuse exactly the kind of access decimate_model gives an agent:

How to control decimate_model

PolicyLayer is an MCP gateway — it sits between your AI agents and Metashape MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for decimate_model:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "decimate_model": {
      "limits": [
        {
          "counter": "decimate_model_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

decimate_model 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.

  1. Create a free account and register Metashape MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about decimate_model

What does the decimate_model tool do? +

Reduce mesh complexity by decimating to a target face count. It is categorised as a Write tool in the Metashape MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on decimate_model? +

Register the Metashape MCP Server MCP server in PolicyLayer and add a rule for decimate_model: 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 Metashape MCP Server. Nothing to install.

What risk level is decimate_model? +

decimate_model is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit decimate_model? +

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

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

decimate_model is provided by the Metashape MCP Server MCP server (jenkinsm13/metashape-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Metashape MCP Server tool call.

Start from Metashape MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

112 Metashape MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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