Audit asset references — find unused assets or circular dependencies.
AI agents call reference_audit 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.
The tool audits and analyzes existing assets to identify unused references or circular dependencies. This is a passive inspection activity with no side effects, reversible changes, code execution, data deletion, or financial impact. It retrieves information about asset relationships only.
From the tool's definition Tool performs 'Audit asset references — find unused assets or circular dependencies.' This is a read-only analysis operation that queries and inspects existing asset data without modifying, executing, or deleting anything.
Documented attack patterns abuse exactly the kind of access reference_audit 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 reference_audit:
{
"version": "1",
"default": "deny",
"tools": {
"reference_audit": {}
}
}reference_audit 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.
Audit asset references — find unused assets or circular dependencies. 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 reference_audit: 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.
reference_audit 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 reference_audit 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 reference_audit. 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.
reference_audit 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.