That's no surprise. When I was working on game theory and agent reasoning I reached the same conclusion a year ago.

My conclusion was that context needs to be managed well for the LLMs to manage accuracy in replies. Also, it helps to have a planning process ("graph reasoning") before task execution because it guardrails the models thought process.

This also introduces a discussion on general use vs workflow agent implementations as in the former it is much more difficult to generalize all components in structuring effective ReAct patterns.