How to Evaluate AI Agents From Tool Calls to Task Completion
AI agent evaluation must shift from scoring single tool calls to measuring full multi-step task completion.
“Scoring whether the model sounds right tells you almost nothing about whether the work finished.”
NVIDIA argues that evaluating AI agents requires assessing whether they can complete entire tasks across dozens of sequential tool calls and recover from failures, not just whether individual function calls look correct. This matters because agent reliability in live environments depends on end-to-end task success, a growing concern as agents move into production.