Low Risk

get_model

Read an OpenSCAD model file and return its contents. Args: name: File name of the model to read workspace: Directory containing the model. Defaults to the configured temp_dir/models directory. ctx: MCP context for logging Returns: Dict with success status, name, content, path, and size_bytes

How to control get_model ↓

AI agents call get_model to retrieve information from OpenSCAD MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This is a pure retrieval operation that queries and returns the contents of an existing OpenSCAD model file. It has no side effects, cannot modify data, execute code, delete files, or affect external systems. The blast radius of misuse is minimal—an AI agent could only read file contents it already has access to within the workspace directory.

From the tool's definition Tool performs file read operation ('Read an OpenSCAD model file and return its contents') with no data modification, deletion, or execution capabilities. Returns file metadata (name, content, path, size_bytes) only.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_model": {}
  }
}

get_model is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register OpenSCAD 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.
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Go deeper

What does the get_model tool do? +

Read an OpenSCAD model file and return its contents. Args: name: File name of the model to read workspace: Directory containing the model. Defaults to the configured temp_dir/models directory. ctx: MCP context for logging Returns: Dict with success status, name, content, path, and size_bytes. It is categorised as a Read tool in the OpenSCAD MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_model? +

Register the OpenSCAD MCP Server MCP server in PolicyLayer and add a rule for get_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 OpenSCAD MCP Server. Nothing to install.

What risk level is get_model? +

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

Can I rate-limit get_model? +

Yes. Add a rate_limit block to the get_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 get_model completely? +

Set action: deny in the PolicyLayer policy for get_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 get_model? +

get_model is provided by the OpenSCAD MCP Server MCP server (quellant/openscad-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every OpenSCAD MCP Server tool call.

Deterministic rules across all 13 OpenSCAD MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

13 OpenSCAD MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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