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    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

    SWE-BenchTool UseFunction Calling

    Related DeepSignal articles

    arXiv cs.AI
    arXiv cs.AI·Omkar Ghugarkar, Vishvesh Bhat, Muhammad Ahmed Mohsin, Asad Aali
    6/1/2026
    FeaturedOriginal

    MAVEN: Improving Generalization in Agentic

    AI Summary

    MAVEN (Modular Agentic Verification and Execution Network) enhances reasoning in agentic tool-calling environments, improving GPT-OSS-120b accuracy from 48% to 71% on MAVEN-Bench without extra training. This lightweight framework also remains competitive against proprietary models at a cost ratio of 1/10, highlighting its potential for better compositional reasoning.

    #LLM#Agent#Open Source
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