Critical Risk →

validate_code

Checks a Kotlin or Swift SceneView snippet for common mistakes. For Kotlin: threading violations, wrong destroy order, missing null-checks, LightNode trailing-lambda bug, deprecated 2.x APIs. For Swift: missing @MainActor, async/await patterns, missing imports, RealityKit mistakes. Language is au...

Risk signalsAccepts freeform code/query input (code)

Part of the Sceneview server.

validate_code can permanently delete data in Sceneview, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents may call validate_code to permanently remove or destroy resources in Sceneview. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.

Without a policy, an AI agent could call validate_code in a loop, permanently destroying resources in Sceneview. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.

Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "validate_code"
  ]
}

See the full Sceneview policy for all 28 tools.

Get this rule live on your own Sceneview server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access validate_code 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 validate_code only ever does what you allow.

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Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.

What does the validate_code tool do? +

Checks a Kotlin or Swift SceneView snippet for common mistakes. For Kotlin: threading violations, wrong destroy order, missing null-checks, LightNode trailing-lambda bug, deprecated 2.x APIs. For Swift: missing @MainActor, async/await patterns, missing imports, RealityKit mistakes. Language is auto-detected. Always call this before presenting generated SceneView code to the user.. It is categorised as a Destructive tool in the Sceneview MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on validate_code? +

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

What risk level is validate_code? +

validate_code is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit validate_code? +

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

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

validate_code is provided by the Sceneview MCP server (SceneView/sceneview). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Sceneview tool call.

Deterministic rules across all 28 Sceneview tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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