ReplicHAI › Agent Evals › 06 Tool use, function calling & MCP

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Year ↓ Title added Authors Venue
Preprint 2026 AutomationBench Shepard, Salimans arXiv
Webpage 2026 AutomationBench leaderboard Zapier
Preprint 2026 MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers Bandi et al. arXiv
Preprint 2026 The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution Li et al. arXiv
Preprint 2025 $τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment Barres et al. arXiv
Preprint 2025 ACEBench: Who Wins the Match Point in Tool Usage? Chen et al. arXiv
Preprint 2025 APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay Prabhakar et al. arXiv
Webpage 2025 Berkeley Function-Calling Leaderboard Gorilla
Preprint 2025 IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems Levi, Kadar arXiv
Preprint 2025 MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers Wang et al. arXiv
Preprint 2025 MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers Luo et al. arXiv
Preprint 2025 MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use Wu et al. arXiv
Preprint 2025 StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models Guo et al. arXiv
Conference paper 2025 The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models Patil et al. Proceedings of the 42nd International Conference on Machine Learning
Preprint 2025 ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities Lu et al. arXiv
Preprint 2024 $τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains Yao et al. arXiv
Preprint 2024 AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents Trivedi et al. arXiv
Preprint 2023 API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs Li et al. arXiv
Preprint 2023 Gorilla: Large Language Model Connected with Massive APIs Patil et al. arXiv
Preprint 2023 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs Qin et al. arXiv
Preprint 2023 ToolQA: A Dataset for LLM Question Answering with External Tools Zhuang et al. arXiv

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