Get information about the local O3DE engine installation.
AI agents call get_engine_info to retrieve information from O3de without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about the O3DE engine installation. It performs no modifications, deletions, or executions. It is a straightforward read operation that retrieves configuration or state data about the engine, similar to status checks or diagnostic queries.
From the tool's definition Tool name 'get_engine_info' and description 'Get information about the local O3DE engine installation' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_engine_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and O3de, and nothing reaches the server without passing your rules. This is the rule we recommend for get_engine_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_engine_info": {}
}
} get_engine_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get information about the local O3DE engine installation. It is categorised as a Read tool in the O3de MCP Server, which means it retrieves data without modifying state.
Register the O3de MCP server in PolicyLayer and add a rule for get_engine_info: 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 O3de. Nothing to install.
get_engine_info 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 get_engine_info 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 get_engine_info. 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.
get_engine_info is provided by the O3de MCP server (nickschuetz/o3de-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from O3de, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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30 O3de tools catalogued and risk-classified — across an index of 43,000+ MCP servers.