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bounding_boxes

Show/hide axis-aligned bounding boxes for scene objects. Runtime only — for debugging frustum culling and object bounds. Debug only — page reload will reset. No code changes needed.

Part of the Threejs Devtools server.

bounding_boxes can permanently delete data in Threejs Devtools, 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 bounding_boxes to permanently remove or destroy resources in Threejs Devtools. 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 bounding_boxes in a loop, permanently destroying resources in Threejs Devtools. 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": [
    "bounding_boxes"
  ]
}

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Get this rule live on your own Threejs Devtools 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 bounding_boxes gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so bounding_boxes 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 bounding_boxes tool do? +

Show/hide axis-aligned bounding boxes for scene objects. Runtime only — for debugging frustum culling and object bounds. Debug only — page reload will reset. No code changes needed.. It is categorised as a Destructive tool in the Threejs Devtools 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 bounding_boxes? +

Register the Threejs Devtools MCP server in PolicyLayer and add a rule for bounding_boxes: 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 Threejs Devtools. Nothing to install.

What risk level is bounding_boxes? +

bounding_boxes 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 bounding_boxes? +

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

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

bounding_boxes is provided by the Threejs Devtools MCP server (threejs-devtools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Threejs Devtools tool call.

Deterministic rules across all 60 Threejs Devtools tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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