Tool use and function calling

API-Bank, Gorilla, ToolBench, BFCL, TRAJECT-Bench, plus the tool-injection security work in AgentDojo.

Seven papers covering the tool-use story. API-Bank and Gorilla established the format. ToolBench scaled the API surface. BFCL is the leaderboard most teams actually report against in 2025, with v3 adding the multi-turn dimension. TRAJECT-Bench is the trajectory-aware extension. AgentDojo lives at the intersection of tool use and security, where prompt injection into a tool call becomes the attack surface. The Yehudai survey closes the picture with the broader agent-eval view.

AI Evals

The most useful, opinionated reference for AI evals.

AI Evals is a curated technical reference for evaluating large language model systems in production. The site covers error analysis, LLM-as-judge calibration, RAG evaluation, agentic eval, statistical rigor, and twenty task-specific eval playbooks. Every claim is cited.

Why evals matter
Your first eval in 30 minutes
LLM-as-Judge introduction
RAG eval in two layers
Trajectory eval for agents
Glossary
Papers