Most ReAct-style agents are silently wasting their retry budget on errors that can never succeed. In a 200-task benchmark, 90.8% of retries were spent on hallucinated tool calls — not model mistakes, but architectural flaws. This article shows why prompt tuning won’t fix it, and the three structural changes that eliminate wasted retries entirely.
The post Your ReAct Agent Is Wasting 90% of Its Retries — Here’s How to Stop It appeared first on Towards Data Science.
