generate_3d_model
Turn a text prompt into a textured, downloadable 3D model (GLB). Free and keyless. Describe a SINGLE object, character, or creature: "a brass mid-century desk lamp", not a whole scene. Returns the model URL plus links that open it in the viewer, in the user's room through their phone camera, and ...
This record as markdown: /tools/3d-ar-studio-mcp/generate-3d-model.md
What generate_3d_model does on 3d Ar Studio
AI agents use generate_3d_model to create or update resources in 3d Ar Studio, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 3d Ar Studio environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
kind | string | — | model (a prop, default), avatar (a rigged character), or mesh (art-directed, prompt refined first). |
tier | string | — | Detail level. Higher is slower. |
prompt | string | Yes | The single object or character to model. |
Parameters from the server's own tool schema.
Why generate_3d_model is rated Medium
An AI agent can call generate_3d_model faster than any human can review: one bad instruction and it creates or modifies resources in 3d Ar Studio by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs generate_3d_model safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 3d Ar Studio, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For generate_3d_model, this is the rule to start with:
generate_3d_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.
The button opens the PolicyLayer dashboard: create your workspace, connect 3d Ar Studio, apply this rule, and every generate_3d_model call is checked against it from then on.
Questions about generate_3d_model
Turn a text prompt into a textured, downloadable 3D model (GLB). Free and keyless. Describe a SINGLE object, character, or creature: "a brass mid-century desk lamp", not a whole scene. Returns the model URL plus links that open it in the viewer, in the user's room through their phone camera, and in the AR studio. Use kind:"avatar" for a character: it comes back rigged, so it idles and animates instead of standing in a T-pose. It is categorised as a Write tool in the 3d Ar Studio MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
generate_3d_model accepts 3 parameters: kind, tier, prompt. Required: prompt. The full parameter table on this page comes from the server's own tool schema.
Register the 3d Ar Studio MCP server in PolicyLayer and add a rule for generate_3d_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 3d Ar Studio. Nothing to install.
generate_3d_model 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 generate_3d_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.
Set action: deny in the PolicyLayer policy for generate_3d_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.
generate_3d_model is provided by the 3d Ar Studio MCP server (3d-ar-studio-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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