Tool Documentation

Tool documentation is crucial for enabling large language models (LLMs) to effectively utilize external tools, a key area of research in AI. Current efforts focus on improving the efficiency of using tool documentation by compressing lengthy descriptions into concise summaries, developing standardized interfaces for diverse tool instructions, and employing constrained decoding methods to ensure correct tool syntax. These advancements aim to enhance the performance and reliability of LLM-based agents across various tasks, ultimately leading to more robust and versatile AI systems capable of interacting with the real world.