You have built an AI agent harness. It calls tools, routes requests, and returns results. Your team trusts its telemetry to tell you which tool was selected and why.
That trust is a liability.
An agent's own logs are self-reported. They tell you what the agent thinks it did, not what actually happened. A hallucinated tool name, a misrouted parameter, a silent fallback to a different function — none of these surface in the agent's own trace. You need an external witness.
Here is how to build one.
The Problem: Self-Reported Truth Is Not Truth
