📄 中文摘要
在2026年初的开发者论坛中，MCP被广泛认为已经死亡，许多开发者对此表示失望和无奈，认为其协议存在问题。然而，MCP并没有死亡，而是被错误地使用。过去一年中，GitHub、Block及众多小型团队达成了一套有效的使用原则，证明了MCP的潜力。通过合理的工具选择和配置，团队可以显著提升AI代理的表现，避免因工具过多而导致的选择困难。有效的MCP应用能够帮助开发者更好地利用AI技术，提升工作效率。
MCP 工具设计：为什么你的 AI 代理失败了（以及如何修复它）
出处: MCP Tool Design: Why Your AI Agent Is Failing (And How to Fix It)
发布: 2026年3月19日
📄 English Summary
MCP Tool Design: Why Your AI Agent Is Failing (And How to Fix It)
In early 2026, developer forums are rife with claims that MCP is dead, with sentiments ranging from dismissive to resigned as teams experience frustrations with their agents' failures. However, MCP is not dead; it is simply being misused. Over the past year, teams at GitHub, Block, and numerous smaller companies have converged on a set of principles that demonstrate how to effectively utilize MCP. By optimizing tool selection and configuration, teams can significantly enhance the performance of their AI agents, avoiding the pitfalls of overwhelming choices. Effective application of MCP can empower developers to harness AI technology more efficiently.