Get landscape details (size, layers, material) for the current level.
AI agents call landscape_info to retrieve information from Uefn without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves read-only metadata about landscape configuration in the UEFN editor. It has no side effects, does not modify state, and poses minimal risk if called by an AI agent. It is a straightforward information query.
From the tool's definition Tool description states 'Get landscape details' — a query operation retrieving information about landscape properties (size, layers, material) with no indication of modification, deletion, or code execution.
Documented attack patterns abuse exactly the kind of access landscape_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Uefn, and nothing reaches the server without passing your rules. This is the rule we recommend for landscape_info:
{
"version": "1",
"default": "deny",
"tools": {
"landscape_info": {}
}
}landscape_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 landscape details (size, layers, material) for the current level. It is categorised as a Read tool in the Uefn MCP Server, which means it retrieves data without modifying state.
Register the Uefn MCP server in PolicyLayer and add a rule for landscape_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 Uefn. Nothing to install.
landscape_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 landscape_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 landscape_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.
landscape_info is provided by the Uefn MCP server (quangdang46/uefn-verse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Uefn, 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.
143 Uefn tools catalogued and risk-classified — across an index of 43,000+ MCP servers.