This article discusses how the Model Context Protocol (MCP) allows AI agents to connect with various tools and data more efficiently. It highlights the challenges of excessive token usage and latency when loading tool definitions and processing intermediate results. By using code execution, agents can handle tools on-demand and streamline data processing, significantly reducing costs and improving performance.