Small MCP Tools Win the Efficiency Game in Agent Workflows

The article demonstrates how minimal MCP servers address core inefficiencies in agent workflows—specifically structured output validation failures and oversized tool catalogs that bloat prompts. By publishing small, focused utilities rather than waiting for comprehensive frameworks, teams can immediately reduce token costs, prevent silent failures, and improve agent decision-making. This modular approach to AI infrastructure treats composability and rapid deployment as competitive advantages.