QuestionQ59

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An agent consistently struggles to generate accurate responses despite having a well-structured prompt.

Which evaluation strategy would best isolate whether the problem lies in prompt clarity or tool invocation logic?

Explanation

Of the four strategies, only an LLM-as-a-judge evaluator scores whether the output matches the intent of the prompt in meaning, and so it checks whether the prompt is being understood and satisfied. That signal is what lets you separate a prompt-clarity problem from a tool-logic problem. Exact match (A) and JSON similarity (D) are deterministic checks of wording or structure and say nothing about cause, and D also disables prompt scoring. Randomizing tool sequences (B) introduces noise instead of isolating a variable.

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