Tool use (AI)
The ability of an AI model to call external functions and APIs to complete tasks. Claude AI with tool use can check a CRM, run a calculation, look up a shipping status, and send a Slack message all within a single agentic workflow step.
Expert insight
An AI agent's tool-use accuracy depends heavily on how clearly each tool is described to it, a tool with an ambiguous or overly broad description gets called incorrectly or in the wrong situation far more often than one with a precise description of exactly when and how it should be used.
In a real workflow
An AI model is given a "look up order" tool and calls it when a customer asks about delivery.
Common mistakes
- Tools with destructive actions and no confirmation.
- Unclear tool descriptions that confuse the model.
Complexity level
Technical term used in production automation systems.
Related terms
See it in action
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Guides that cover Tool use
AI agents in production: what actually works vs what sounds good in demos.
The gap between a compelling AI agent demo and a reliable production deployment is wider than most vendors admit. Here is what we have learned building both.
How to build an AI agent with n8n and Claude: the complete technical guide
AI agents in production are not magic they are structured workflows with an LLM at the core, surrounded by memory, tools, error handling, and human oversight. Here is exactly how we build them.
Agentic AI in 2026: what it actually means for your business operations
Agentic AI is the term everyone is using and almost nobody is defining correctly. Here is what it actually means, where it works in production today, where it fails, and how businesses should be thinking about the transition from rule-based automation to autonomous AI-driven operations.