Too Many Tools? How LLMs Struggle at Scale | MCP Talk w/ Matthew Lenhard
AI Summary
In this talk, the speaker discusses their experiences and challenges faced while building with the MCP (Modular Computing Platform). They emphasize the critical issue of tool call selection, particularly when dealing with numerous tools, which can lead to poorer outcomes due to the limitations of the context window. The speaker outlines an experiment comparing two servers—one with 60 tools and one with 5—highlighting the significant difference in tool selection accuracy. The smaller server achieved nearly 100% accuracy in selecting the correct tool, whereas the larger server struggled, making selection errors. The discussion also covers various strategies and solutions proposed by different companies to enhance tool call selection, including layered approaches to tool discovery and dynamic registration of tools to reduce complexity. The speaker stresses the need for better solutions as MCP evolves, ensuring user-friendly experiences without requiring users to manage their tools directly. The talk concludes with excitement for the future of MCP and the innovative solutions on the horizon.