Medium Risk

twinmotion_render

Queue a photorealistic Twinmotion-style still render of a translated model with time-of-day, weather, season, and resolution controls. Returns a render_id and preview_url; the actual render pipeline is a ScanBIM roadmap item (Week 5 buildout), so today this tool responds synchronously with a stub...

Part of the ScanBIM MCP server.

twinmotion_render can modify ScanBIM MCP data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use twinmotion_render to create or modify resources in ScanBIM MCP. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call twinmotion_render repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach ScanBIM MCP.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

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These attack patterns abuse exactly the kind of access twinmotion_render gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so twinmotion_render only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the twinmotion_render tool do? +

Queue a photorealistic Twinmotion-style still render of a translated model with time-of-day, weather, season, and resolution controls. Returns a render_id and preview_url; the actual render pipeline is a ScanBIM roadmap item (Week 5 buildout), so today this tool responds synchronously with a stub job descriptor. When to use: you want a scripted way to request a hero still for a proposal or client deck. When NOT to use: you need real-time interactive rendering — use get_viewer_link. You need a moving camera — use twinmotion_walkthrough. You expect the image file bytes back in the response — this tool returns a URL, not bytes. APS scopes: none today (render pipeline is ScanBIM-internal); viewables:read data:read will apply when the pipeline goes live. Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired/invalid — refresh (will apply when pipeline is live); 403 scope or resource permission denied; 404 URN not found — check the ID; 429 rate limited — backoff and retry; 5xx APS upstream outage — retry with jitter. Side effects: NON-IDEMPOTENT. Each call mints a new render_id (tm_<epoch_ms>). Inserts a row into D1 usage_log. When the pipeline is live it will create a rendering job on ScanBIM's compute backend.. It is categorised as a Write tool in the ScanBIM MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on twinmotion_render? +

Register the ScanBIM MCP server in PolicyLayer and add a rule for twinmotion_render: 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 ScanBIM MCP. Nothing to install.

What risk level is twinmotion_render? +

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

Can I rate-limit twinmotion_render? +

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

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

twinmotion_render is provided by the ScanBIM MCP server (https://scanbim-mcp.itmartin24.workers.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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