AMTFV introduces Mathematical Tool Flow (MTF), an interrupt-execute-resume interface that separates verification modeling from low-level program generation. A verification agent specifies mathematical objects and computational intent; a toolbox agent translates the request into executable backend calls and returns exact results for adjudication or revision. According to the supplied abstract, evaluations span five difficult mathematical-reasoning datasets and seven DeepSeek, GPT, and Gemini configurations. AMTFV reportedly outperforms the evaluated baselines overall, with an average-accuracy improvement of up to 8.3 percentage points under one model configuration and larger gains on medium- and high-complexity verification cases.
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