Execute a docs query and return a human-readable summary.
AI agents call query-docs 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 and summarizes documentation. It has no side effects on the editor state, game assets, or project data. The 'Execute' in the description refers to executing the query operation itself (a read operation), not executing arbitrary code. The blast radius of misuse is minimal—an AI agent could only retrieve documentation it should not see, which is a low-severity information disclosure risk.
From the tool's definition Tool description states 'Execute a docs query and return a human-readable summary.' The verb 'query' combined with 'return' indicates data retrieval without modification.
Documented attack patterns abuse exactly the kind of access query-docs 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 query-docs:
{
"version": "1",
"default": "deny",
"tools": {
"query-docs": {}
}
}query-docs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Execute a docs query and return a human-readable summary. 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 query-docs: 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.
query-docs 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 query-docs 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 query-docs. 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.
query-docs 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.
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143 Uefn tools catalogued and risk-classified — across an index of 43,000+ MCP servers.