The model generates tool arguments that are syntactically valid and semantically wrong. How would you fix that?

Instruction: Explain how you would respond when tool arguments pass schema validation but still miss the business meaning.

Context: Tests how the candidate diagnoses the problem, chooses the safest next step, and reasons through recovery. Explain how you would respond when tool arguments pass schema validation but still miss the business meaning.

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JSON validity is not the same as a good action. I would add semantic checks on the fields that matter...

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