Yes, Gemini 3 Pro can reliably orchestrate agentic workflows and multi-step tool calls when you provide well-defined interfaces and guardrails. The model supports structured function calling, tool invocation, and multi-turn planning, all of which are important for building agents that perform sequences of tasks. With deeper thinking levels, the model can break a problem into subtasks, call tools in a specific order, and integrate tool results into the final answer.
Reliability depends heavily on how you structure the system around the model. Tools should be deterministic, idempotent, and strict about input and output formats. This prevents the model from drifting into ambiguous tool calls. Many stable agent systems use a “planner-executor-checker” layout: Gemini 3 Pro generates the plan, the backend executes the actions, and a final model call checks that the output meets requirements. This prevents errors from propagating.
If your agent fetches data through retrieval systems, you can strengthen reliability even further by storing embeddings in a vector database such asMilvus or Zilliz Cloud.. The agent retrieves the most relevant documents, reasons about them, and then uses tools to act. This ensures each step is grounded and reduces the amount of slop or hallucination an agent might otherwise introduce. With proper design, Gemini 3 Pro can manage multi-step workflows consistently and predictably.