Yes. The key is designing systems where tools support a model’s reasoning rather than replace it. A realignment framework proposed in a recent ACL 2026 paper trains models to treat tool results as evidence within a broader chain of thought, not as a substitute for thinking. When tool use is structured this way, both accuracy and reasoning depth improve. Developers building tool-augmented AI should evaluate reasoning quality alongside accuracy, rather than merely measuring whether the final answer is correct.
