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AI Models Master Tool Selection: The MCP Agent Loop Explained

AI 모델이 도구를 '선택'한다: MCP 에이전트 루프의 완전 해석

Why it matters

MCP agents represent a critical evolution in how AI systems use external tools—shifting from static, single-function calls to dynamic, multi-step decision-making loops. For developers building or testing MCP servers, this distinction is essential: production AI systems operate as agents, making real-world agent testing indispensable for understanding true server behavior and performance.

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MCP AgentTool autonomyAgent loopDecision-makingAI execution

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