AI agents invoke image_to_3d_model to trigger actions in Portals. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
spaceId | string | — | Space/room ID to associate the generated model with. Defaults to the current room. |
image_url | string | Yes | URL of the image to convert to a 3D model. |
Parameters from the server's own tool schema.
This tool triggers an external AI operation (Tripo AI) to generate a 3D model from an image. It initiates an external process with side effects (task creation on a third-party service), making it Execute. It does not delete data or move money, and it's more than a simple read or write since it runs an external computation pipeline.
From the tool's definition Generate a 3D model from an image using Tripo AI... Returns a task ID
Attacks that exploit this kind of access
Generate a 3D model from an image using Tripo AI. Provide a URL to an image (jpg, png, webp, etc.). Returns a task ID. Use check_3d_model_task to poll for progress. It is categorised as a Execute tool in the Portals MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
image_to_3d_model accepts 2 parameters: spaceId, image_url. Required: image_url. The full parameter table on this page comes from the server's own tool schema.
Register the Portals MCP server in PolicyLayer and add a rule for image_to_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 Portals. Nothing to install.
image_to_3d_model is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the image_to_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 image_to_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.
image_to_3d_model is provided by the Portals MCP server (portals-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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