Which approach is used to evaluate the quality of an Agent's decisions?

• A. Counting the number of tools used
• B. Checking user feedback on the final answer
• C. Comparing the tool sequence and reasoning to an optimal or benchmark plan across scenarios
• D. Verifying that all outputs are identical across attempts

Answer: (C)

Evaluating how an Agent decides what to do is about the thinking and planning behind its actions, not just the end result. The best approach is to compare the Agent’s tool sequence and its reasoning steps to an optimal or benchmark plan across a variety of scenarios. This shows whether the agent follows a solid problem‑solving process, selects appropriate tools, and explains its path to a solution in a way that holds up under different contexts. Testing across multiple scenarios also reveals how robust and generalizable the decision strategy is, not just how it performs once.

In practice, you’d have an exemplar plan or expert-guided benchmark to aim for, and you’d assess how closely the agent’s chain of thought and chosen actions match that reference. This lets you reward or critique the quality of decision-making, tool use, and the justification provided at each step, rather than relying solely on the final answer.

Counting tools used can be misleading because quantity doesn’t reflect quality or appropriateness of tool use. User feedback on the final answer focuses on usefulness or clarity rather than the underlying reasoning. Requiring identical outputs across attempts ignores legitimate variation and the possibility of improved strategies in different cases.