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The Tool Calling Problem: Why Most Agents Are Just Chatbots with Buttons
How-ToMachine Learning

The Tool Calling Problem: Why Most Agents Are Just Chatbots with Buttons

via Dev.toAamer Mihaysi4h ago

Everyone says they are building agents now. But most of what gets called an agent is just a chatbot that can click buttons. Thats not an agent. Thats a wrapper. The difference matters because real agents have different failure modes, different capabilities, and different requirements than glorified chatbots. What makes something an agent: An agent is a system that takes actions in the world. Not just responses, but real actions with real consequences. Tool calling is the mechanism, but it is not the definition. The problem is that most implementations stop at the mechanism. They expose tools, wire up an LLM, and call it an agent. But they miss the architecture that makes agent behavior reliable. The missing pieces: State persistence. Real agents need to remember what they have done. Not just conversation history, but the state of the world they are acting on. Most agent frameworks treat every interaction as stateless. Action verification. When an agent takes an action, it needs to know

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