An Executable Benchmarking Suite for Tool-Using Agents
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Abstract (arXiv)
Closed-loop tool-using agents are increasingly evaluated in executable web, code, and micro-task environments, but benchmark reports often conflate workloads, action-generating drivers, and the evidence admitted for systems-facing claims. We present an executable benchmarking suite that makes these objects explicit under a shared evidence-admission contract. The suite connects WebArena Verified, a SWE-Gym slice with SWE-bench-compatible verification, and MiniWoB++ through common workload adapters, task manifests, event schemas, replay/freeze policy, declared drivers, and reporting pipelines. In the canonical release, the gate separates paper-facing evidence from preflight, fixture, smoke, and diagnostic rows while preserving non-admitted artifacts for audit and onboarding. The admitted evidence records latency, invalid-action behavior, patch-generation cost, verifier metadata, replay bindings, and provenance under one auditable contract. The gate is decision-relevant rather than merely clerical: in a separate WebArena Verified controller study, clean-baseline and medium live-stressed evaluation select different fixed controller variants under the same workload and admission contract. The release is scoped as a benchmarking suite and admitted evidence, not a new agent policy, model leaderboard, backend comparison, or autonomous SWE-bench solver.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 16 of its 24 references that are in the map. First posted on arXiv 10 May 2026.
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References · 16
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
- 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,944
- 2024Qwen2.5 Technical Reportcited by 4,942
- 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
- 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,373
- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 2,006
- 2024τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domainscited by 1,402
- 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,195
- 2024AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agentscited by 401
- 2024WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?cited by 363
- 2024Training Software Engineering Agents and Verifiers with SWE-Gymcited by 336
- 2018Reinforcement Learning on Web Interfaces Using Workflow-Guided Explorationcited by 284
4 more
- 2025WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learningcited by 165
- 2024The BrowserGym Ecosystem for Web Agent Researchcited by 161
- 2024ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agentscited by 133
- 2025SafeArena: Evaluating the Safety of Autonomous Web Agentscited by 102
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