AI error-loop tool: parse Verse build errors + read erroring file contents for one-shot fix.
AI agents call verse_patch_errors 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 reads build error output and file contents to support fixing errors. The primary action is reading/parsing data (errors and file contents) rather than writing or executing. However, it is described as part of an 'AI error-loop' suggesting it may trigger subsequent operations; the description alone indicates read behavior.
From the tool's definition parse Verse build errors + read erroring file contents
Documented attack patterns abuse exactly the kind of access verse_patch_errors 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 verse_patch_errors:
{
"version": "1",
"default": "deny",
"tools": {
"verse_patch_errors": {}
}
}verse_patch_errors 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.
AI error-loop tool: parse Verse build errors + read erroring file contents for one-shot fix. 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 verse_patch_errors: 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.
verse_patch_errors 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 verse_patch_errors 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 verse_patch_errors. 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.
verse_patch_errors 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.