# Not Every User Says It All: Training Tool-Using Agents Beyond Ideal Simulated Users

**Published:** October 20, 2026
**Author:** Han Bao, Zheyuan Zhang, Kaiwen Shi, Yanfang Ye
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/not-every-user-says-it-all-training-tool-using-agents-beyond-ideal-simul

arXiv:2610.24294v1 Announce Type: new Abstract: Tool-using agents are trained and evaluated almost exclusively with strong simulated users who state every detail clearly, yet real users are often weaker. We construct weak users by masking sentences of a simulated user's replies,…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.24294)

**Tags:** #arXiv

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