Medium Risk

create_3d_artifact

Generates a complete, self-contained HTML page with interactive 3D content that Claude can render as an artifact. Returns valid HTML using model-viewer (Google's web component for 3D). Use this when the user asks to "show", "preview", "visualize" 3D models, create 3D charts/dashboards, or view pr...

High parameter count (24 properties)

Part of the Sceneview MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

sceneview-mcp Write Risk 2/5

AI agents use create_3d_artifact to create or modify resources in Sceneview. 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 create_3d_artifact repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Sceneview.

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

io-github-sceneview-mcp.yaml
tools:
  create_3d_artifact:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Sceneview policy for all 26 tools.

Tool Name create_3d_artifact
Category Write
Risk Level Medium

View all 26 tools →

Agents calling write-class tools like create_3d_artifact have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the create_3d_artifact tool do? +

Generates a complete, self-contained HTML page with interactive 3D content that Claude can render as an artifact. Returns valid HTML using model-viewer (Google's web component for 3D). Use this when the user asks to "show", "preview", "visualize" 3D models, create 3D charts/dashboards, or view products in 360°. The HTML works standalone in any browser, supports AR on mobile, and includes orbit controls. Types: "model-viewer" for 3D model viewing, "chart-3d" for 3D data visualization (bar charts with perspective), "scene" for rich 3D scenes with lighting, "product-360" for product turntables with hotspot annotations.. It is categorised as a Write tool in the Sceneview MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_3d_artifact? +

Add a rule in your Intercept YAML policy under the tools section for create_3d_artifact. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Sceneview MCP server.

What risk level is create_3d_artifact? +

create_3d_artifact is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_3d_artifact? +

Yes. Add a rate_limit block to the create_3d_artifact rule in your Intercept 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 create_3d_artifact completely? +

Set action: deny in the Intercept policy for create_3d_artifact. 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 create_3d_artifact? +

create_3d_artifact is provided by the Sceneview MCP server (sceneview-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Sceneview

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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