How would you evaluate structured output and tool use end to end?

Measures schema validity, tool selection, argument correctness, policy, execution outcome, repair, and final user result.

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TL;DR

I evaluate whether the model chose the right tool, supplied valid and semantically correct arguments, respected authorization and confirmation rules, and handled the tool result correctly. Schema validation and policy checks are deterministic. End-to-end cases also verify the actual state change or answer the user received, because a well-formed call can still use the wrong customer, date, or operation.

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Practice focus

Layered evaluation of constrained generation, application execution, and task completion.

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Answer path

Core answer first, then checkpoints toward a stronger answer.

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Core answer
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Overview
A valid function call is only one checkpoint in a tool-using AI workflow.
I evaluate whether the model chose the right tool, supplied valid and semantically correct arguments, respected authorization and confirmation rules, and handled the tool result correctly. Schema validation and policy checks are deterministic. End-to-end cases also verify the actual state change or answer the user received, because a well-formed call can still use the wrong customer, date, or operation.
Checkpoint
Stronger answer
Optional upgrade with examples, trade-offs, and sharper phrasing.
The suite includes requests that need no tool, one tool, multiple steps, clarification, refusal, and recovery from timeouts or invalid results. I distinguish selection accuracy, argument accuracy, execution success, repair rate, duplicate side effects, and final task completion. Tool responses are fixtures or controlled test environments so runs are reproducible and do not mutate production.

Review signals

Use these to catch weak phrasing, shallow reasoning, and risky claims.

Common mistakesCandidateCommon mistakesMistakes that weaken the answer or signal shallow understanding.Open details

Details

Scoring only whether JSON parsed.
Running evals against real production side effects.
Ignoring correct no-tool and clarification behavior.

How would you evaluate structured output and tool use end to end?

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