# create_ar_page

Return a complete, self-contained HTML page that embeds the AR studio, configured for the caller's models. Write it to a file, commit it, and it works on GitHub Pages, Netlify, Vercel, or any static host: no build step and no API key. Use it when someone asks to "add AR to my site" rather than just to see a model.

Agent View of the PolicyLayer registry record for `create_ar_page`. HTML page: https://policylayer.com/tools/3d-ar-studio-mcp/create-ar-page

## Facts

- Tool: `create_ar_page`
- Server: 3d Ar Studio (`3d-ar-studio-mcp`) — https://policylayer.com/tools/3d-ar-studio-mcp.md
- Install: `npx -y 3d-ar-studio-mcp`
- Homepage: https://www.npmjs.com/package/3d-ar-studio-mcp
- Risk category: Write (Medium risk)
- Registry record: grade C, identity unverified
- Server rate-limited: no
- Parameters: 5
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `title` | string | no | Page and studio title. |
| `accent` | string | no | Accent colour, any CSS colour. |
| `assets` | string | no | Catalogue URL for the model tray. Defaults to the free CC0 library. |
| `models` | array | no | Models pre-loaded into the scene on open. |
| `generate` | boolean | no | Show the text-to-3D prompt box. Default true. |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "create_ar_page",
    "arguments": {}
  }
}
```

## Why create_ar_page is rated Medium

An AI agent can call create_ar_page 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.

Risk signals: High parameter count (11 properties)

## Use case

AI agents use create_ar_page 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.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches 3d Ar Studio:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_ar_page": {
      "limits": [
        {
          "counter": "create_ar_page_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on 3d Ar Studio (5)

- `check_generation` — Read — https://policylayer.com/tools/3d-ar-studio-mcp/check-generation.md
- `compose_ar_scene` — Read — https://policylayer.com/tools/3d-ar-studio-mcp/compose-ar-scene.md
- `search_models` — Read — https://policylayer.com/tools/3d-ar-studio-mcp/search-models.md
- `export_ar` — Write — https://policylayer.com/tools/3d-ar-studio-mcp/export-ar.md
- `generate_3d_model` — Write — https://policylayer.com/tools/3d-ar-studio-mcp/generate-3d-model.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=3d-ar-studio-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/3d-ar-studio-mcp