AI Glossary
What is Agent Evaluation?
Overview
Agent evaluation measures whether AI agents can plan, call tools, recover from errors, and complete multi-step tasks. It matters because one-shot model benchmarks do not fully capture real agent behavior, where reliability depends on orchestration, memory, tools, and execution traces.
Why it matters
Agent evaluation helps teams judge whether an agent can complete work reliably, not just answer questions impressively.
Where it appears in AI research
- Agent benchmark papers
- AI coding agent comparisons
- Tool-use evaluations
- Enterprise automation testing
Related terms
Related DeepSignal articles
MAVEN: Improving Generalization in Agentic
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