AI Agents Evaluation Scorecard

Agent Evaluation Scorecard Prompt

Grade agent output the same way every time — a rubric scoring correctness, grounding, safety, tone, and completeness, with a pass threshold instead of a gut call.

Overview

Evaluating agents by reading a few outputs and nodding doesn't scale and isn't consistent. This prompt builds a scorecard: the dimensions that matter (correctness, groundedness, safety, format adherence, tone, completeness), a concrete scale for each, and a weighted pass threshold — so two reviewers grade the same output the same way and 'good enough to ship' is a number.

Why This Works

  • A rubric makes two reviewers grade the same output the same way
  • Weighting correctness and safety highest reflects what actually matters
  • A capping rule stops a polished but unsafe answer from scoring well

Best for

  • Teams evaluating agents by ad-hoc reading
  • Eval pipelines needing a structured score
  • Agents judged on more than just correctness

Not for

  • Generating the test inputs — use the Agent Test Scenario Prompt
  • Comparing two versions for drift — use the Agent Regression Test Prompt

Use cases

  • Scoring agent outputs consistently across reviewers
  • Setting a numeric 'ready to ship' threshold
  • Comparing prompt versions on the same rubric

Tip: Save time by exploring related resources and tools that integrate with this workflow.

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