Learning to Rewrite Tool Descriptions for Reliable LLM-Agent Tool Use

ArXi:2602.20426v2 Announce Type: replace While most efforts to improve LLM-based tool-using agents focus on the agent itself - through larger models, better prompting, or fine-tuning - agent performance increasingly plateaus due to the quality of the tool interfaces these agents consume. Tool descriptions are often written for human developers and tolerate ambiguity that agents cannot resolve, particularly as the number of candidate tools grows.