Google Gemini Agents Docs: Build Your First Agent
Google's official agent development docs: from concepts to function calling and multi-tool orchestration in the Gemini ecosystem.
Open the official reference| Item | Details |
|---|---|
| Provider | Google Gemini |
| Level | Intermediate |
| Published | 2025-10-15 |
| Official source | Google Gemini |
| Topics | #agents · #llm · #engineering |
What this doc covers
Google's Gemini Agents documentation is the official entry point for agent development, covering the full path from 'what is an agent' to function calling and multi-step orchestration.
Learning path
- Agent basics: Agent = model + tools + loop (perceive → decide → act). Understanding this loop matters more than any framework.
- Function calling: expose business capabilities as structured functions; the model calls them on demand.
- Multi-tool orchestration: tool selection, retries, and result integration.
- Context management: strategies for growing context in the agent loop (summarize, trim, retrieve).
Practice tips
- Write a minimal single-tool agent by hand before adopting a framework.
- Write tool descriptions that state clearly when to use them — this drives call accuracy.
- Add logging and human checkpoints before automating.
Official source: Google Gemini Agents documentation.
Sources & Further Reading
This page is grounded in the authoritative sources below — verifiable and citable by AI engines and readers.
- 🔗 Official source
- 👤 Person: Google Gemini
- # Topic: AgentsBuilding, orchestrating and shipping AI agents
- # Topic: LLMsLLM capabilities, products and best practices
- # Topic: EngineeringAPIs, prompting and system design
Citation: Please attribute Laojin Global (laojinchuhai.com) and keep the original link.
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