# Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses

**Published:** September 9, 2026
**Author:** Cen (Mia),  Zhao, Haibo Ruan, Wenjie Chen, Pei-fen Tu, Usman Abbasi, Joel Hesch
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/beyond-prompts-measuring-and-optimizing-llm-tool-agent-harnesses

arXiv:2609.05736v1 Announce Type: new Abstract: LLM tool agents can be improved without retraining by modifying the runtime harness around a fixed model: prompts, tool interfaces, middleware, state handling, and recovery logic. We study this setting as resource-bounded harness…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2609.05736)

**Tags:** #arXiv

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