Gemini tooling updates show agents are about orchestration. That is where the interesting work is moving. Google’s recent Gemini API tooling updates talk about combining function calling with built-in tools like Google Search and Maps in a single request, circulating context across tool calls and turns, and supporting more complex agentic workflows. That is not just a model update. It is a workflow update.
A simple chatbot gives an answer. An agent needs to decide what to do next, call a tool, read the result, carry context forward, and decide again. That loop is where a lot of the complexity lives, and it is also where a lot of agent projects become fragile if every team has to hand-roll the glue.
For developers, the practical question is not just “can this model call a tool?” It is whether it can call the right tool, keep the right context, expose what happened, limit what it is allowed to do, and make the workflow testable. Those questions decide whether an agent is useful outside a demo.
The agent market is becoming an orchestration market. Models still matter, but the surrounding tool layer matters more every month. For developers, that means learning how to design reliable workflows, not just how to write better prompts.