Tool use in LLMs improves final-answer accuracy but degrades reasoning quality through Tool-Induced Myopia, with the effect worsening as tool calls increase and shifting errors toward logic and assumption failures.
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From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models
Tool use in LLMs improves final-answer accuracy but degrades reasoning quality through Tool-Induced Myopia, with the effect worsening as tool calls increase and shifting errors toward logic and assumption failures.