How does ReAct improve interpretability of LLM behavior?

ReAct exposes the model's decision process as an explicit trace of thoughts and actions. Developers can inspect why the model chose a specific tool, what information it retrieved, and how it reasoned about results. This makes debugging much easier than with opaque single-shot answers and lets humans intervene to correct mistakes mid-trace.