Review Tool Use

Tool use occurs when a model or agent invokes an external capability and incorporates the result into its work.

Tool use occurs when an AI system invokes an external capability—such as search, a calculator, code execution, or a business API—and incorporates the result into its work.

Tools extend what a model can do and connect it to real systems. They also create authority, security, reliability, and verification questions because a generated request can cause external effects.

An assistant calls a read-only inventory API, checks the returned stock level, and cites the result in its answer. It cannot place an order without a separate approval.

Giving a model a tool does not make it competent or authorized to use that tool in every situation. Selection, permissions, argument validation, and result checking remain necessary.

A tool is an external capability; tool use crosses a boundary.

* [[ai-agent|AI Agent]] * [[application-programming-interface|Application Programming Interface]] * [[mcp-server|MCP Server]] * [[human-oversight|Human Oversight]]

* [Timo Schick and colleagues, “Toolformer: Language Models Can Teach Themselves to Use Tools”](https://arxiv.org/abs/2302.04761) — studies model decisions about which APIs to call, when to call them, and how to use their results.

* Compare [[ai-agent|AI Agent]], [[application-programming-interface|Application Programming Interface]], [[mcp-server|MCP Server]], and [[human-oversight|Human Oversight]] to place Tool Use in the surrounding system. * Follow the cited source material above for the method, standard, or research context behind this draft.