AI agents call search_assets 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.
Search operations retrieve or query data without modification. Even without description details, 'search_assets' most naturally maps to a query/retrieval function that scans an asset database and returns results. No indicators suggest writes, deletions, or external execution. Confidence is slightly reduced due to empty description, but the name and context are strong signals for the Read category.
From the tool's definition Tool name 'search_assets' indicates querying/retrieving asset information with no side effects. Description is empty, but the naming pattern is consistent with Read operations (search, list, get, fetch).
Documented attack patterns abuse exactly the kind of access search_assets 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 search_assets:
{
"version": "1",
"default": "deny",
"tools": {
"search_assets": {}
}
}search_assets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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search_assets. 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 search_assets: 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.
search_assets 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 search_assets 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 search_assets. 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.
search_assets 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.