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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I would treat this as a semantic grounding problem. The model knows how to produce the shape, but it does not understand the business meaning of the fields well enough to fill them correctly.

The fix usually includes better field names, clearer descriptions, examples tied to...

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