AI tool orchestration governs how tools work together during a task. It can decide which tool is available at each step, validate model-generated arguments, execute calls, handle failures and return results in a format the model can use. It is narrower than managing every part of an agent, but often forms its execution backbone.
Imagine a research assistant with search, fetch and summarize tools. Orchestration decides the order, checks that a URL argument is well formed before fetching, retries a timed-out call once with retry logic, and passes only the needed text to the summarizer. For actions such as sending money or deleting records, add a human-in-the-loop approval step before execution.
Keep orchestration rules explicit for sensitive operations. A model proposing an action should not bypass authorization, input validation or human approval. Related: Tool Calling, AI Agent Orchestration.