MCP tool design: Practical approaches and tradeoffs

The article discusses common challenges in designing Model Context Protocol (MCP) tools for large language models, highlighting issues like context bloat and confusion that degrade performance. It emphasizes the importance of context engineering to balance tool descriptions and usage to improve model reasoning and tool call accuracy. Practical approaches and tradeoffs are explored through examples involving a simulated K-12 content search API to demonstrate these concepts.