2 min · Google Research Blog
Google ToolGrad Generates Agent Datasets Answer-First Using Textual Gradients
Google introduced ToolGrad at ACL 2026, a synthetic data framework that generates verified API execution chains before generating matching user prompts. Fine-tuning an open Gemma-3-12B model on just 500 ToolGrad trajectories enabled it to achieve an 83.1 score on the Berkeley Function Calling Leaderboard, matching Gemini 2.5 Pro and outperforming GPT-5.
Why it matters. You can generate high-quality agent tool-use datasets with near-100% pass rates and fine-tune compact local models to match top frontier APIs.