Detect whether the project uses A-Frame or Three.js
AI agents call scene_detect_engine to retrieve information from 8th Wall MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs detection and inspection of the project's rendering engine choice. It retrieves information about the existing setup without creating, modifying, deleting, or executing code. The action is purely informational—determining which framework is in use. This is a straightforward read operation with no side effects, no data modification, and no destructive impact.
From the tool's definition Tool name 'scene_detect_engine' and description 'Detect whether the project uses A-Frame or Three.js' indicate inspection/querying of project configuration without modification.
Documented attack patterns abuse exactly the kind of access scene_detect_engine gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and 8th Wall MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for scene_detect_engine:
{
"version": "1",
"default": "deny",
"tools": {
"scene_detect_engine": {}
}
}scene_detect_engine is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Detect whether the project uses A-Frame or Three.js. It is categorised as a Read tool in the 8th Wall MCP Server MCP Server, which means it retrieves data without modifying state.
Register the 8th Wall MCP Server MCP server in PolicyLayer and add a rule for scene_detect_engine: 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 8th Wall MCP Server. Nothing to install.
scene_detect_engine is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the scene_detect_engine 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 scene_detect_engine. 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.
scene_detect_engine is provided by the 8th Wall MCP Server MCP server (superdwayne/8thwallmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from 8th Wall MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
64 8th Wall MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.