Part 1 of 3 — building and testing MCP agents "Agent" has become one of those words that means everything and nothing. So let's ground it. On its own, a large language model does one thing: it turns text into text. Ask it a question, it predicts an answer. It can't look anything up, check a fact against a live system, or take an action in the world. Everything it "knows" is frozen at training time. An agent changes that by wiring the model into a loop with tools. Give it a set of funct...