Scan the level for memory-heavy assets and report usage.
AI agents call memory_scan 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 performs a read-only scan of the level to gather information about memory usage of assets. It retrieves and reports data without creating, modifying, deleting, or executing any operations. The blast radius of misuse is minimal since providing inaccurate memory reports does not alter game state, delete content, or execute arbitrary code. It falls clearly into the Read category.
From the tool's definition Tool name is 'memory_scan' and description states it will 'Scan the level for memory-heavy assets and report usage' — this is a query/reporting operation with no modifications or side effects.
Documented attack patterns abuse exactly the kind of access memory_scan 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 memory_scan:
{
"version": "1",
"default": "deny",
"tools": {
"memory_scan": {}
}
}memory_scan is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Scan the level for memory-heavy assets and report usage. 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 memory_scan: 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.
memory_scan 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 memory_scan 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 memory_scan. 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.
memory_scan 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.