Get details about a specific tool (parameters, description, category).
AI agents call describe_tool 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 is a read-only information retrieval operation. It fetches and returns tool metadata (parameters, description, category) with no side effects on the UEFN editor state, assets, or any other system. The minimal blast radius and passive nature of querying tool information justifies a 'low' severity classification.
From the tool's definition Tool name 'describe_tool' and description 'Get details about a specific tool (parameters, description, category)' indicate a retrieval operation that queries and returns metadata about tools without modifying, executing, or deleting anything.
Documented attack patterns abuse exactly the kind of access describe_tool 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 describe_tool:
{
"version": "1",
"default": "deny",
"tools": {
"describe_tool": {}
}
}describe_tool is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details about a specific tool (parameters, description, category). 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 describe_tool: 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.
describe_tool 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 describe_tool 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 describe_tool. 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.
describe_tool 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.