Agents often: return plausible but incorrect answers continue after tools return no data quietly fall back to general knowledge LangGraph + tracing tools (LangSmith, etc.) make it easy to see what happened. But in practice: it’s still hard to tell whether the behavior is actually a failure. Example (see screenshot) In this run: the tool returned no data the agent acknowledged the gap and still produced a general answer The system evaluates it as: no failure detected risk: LOW → be...