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Genetic alterations influence biological function through a variety of molecular mechanisms. While common functional descriptions (such as loss of function and gain of function) are useful, they may fail to capture mechanistic complexity, particularly in cases of pleiotropy and context-dependent variant effects. To improve variant interpretation and classification, we propose a framework incorporating "context qualifiers" to address mechanistic specificity. This perspective explores the limitations of common functional descriptors and discusses the criteria needed to implement context qualifiers in variant interpretation frameworks to enhance precision medicine applications.