ToolGrad: Efficient Tool-use Dataset Generation with Textual “Gradients”

1Google 2The University of Tokyo 3RIKEN AIP 4Tohoku University
ACL 2026 Findings
ToolGrad teaser image

ToolGrad inverts the tool-use data generation pipeline. Our answer-first tool-use data generation framework leads to almost 100% pass rate and lower cost.

Generated Data Samples

Our AI understands requests, plans, and uses tools to find answers.

ToolGrad

Analogy to ML and TextGrad

Analogy to ML and TextGrad

Agentic Framework Design

Agentic Framework Design

BibTeX

@article{zhou2025toolgrad,
    title={ToolGrad: Efficient Tool-use Dataset Generation with Textual “Gradients”},
    author={Zhongyi Zhou and Kohei Uehara and Haoyu Zhang and Jingtao Zhou and Lin Gu and Ruofei Du and Zheng Xu and Tatsuya Harada},
    year={2025},
    archivePrefix={arXiv},
}