OrchestriAI
All terms

Tool Calling (Function Calling)

A model feature where the AI returns a structured request to run a defined function, which your code runs and returns.

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Technical details checked 2026-10-29

Concept map

Follow the connections to see how the term fits into a broader automation system.

In one sentence

A model feature where the AI returns a structured request to run a defined function, which your code runs and returns.

Tool calling, also called function calling, lets an AI model ask your software to do something. You describe each tool to the model with a name, a purpose and a schema for its inputs. When the model decides a tool is needed, it returns a structured request, such as "look up order 4471". Your code checks the request, runs the real function and sends the result back. OpenAI and Anthropic both document this pattern for their models.

The model never runs the tool itself

It only proposes a call. That gap is where control lives: your code can validate inputs, check permissions, ask a person for approval, or refuse. This is the main reason tool calling is safer than letting a model write and run its own code.

Good tool design

keeps each tool narrow and clearly named. "Get appointment by ID" is safer and easier for the model to use correctly than "run any database query". Inputs should have strict types and allowed values. Tools that change data should be separate from tools that read it, so read-only agents never see write tools.

Relation to MCP

The Model Context Protocol is a standard way to package tools so many AI applications can discover and call them. An MCP server exposes tools; the AI host turns them into tool calls for the model. Tool calling is the model feature; MCP is the plumbing that makes tools portable.

Failure handling

Tools fail: timeouts, missing records, rate limits. Return clear error messages the model can act on, cap the number of calls per task, and make write tools idempotent so a retry does not create duplicates.

In our builds

every tool an agent can call is listed, typed and logged, and tools that move money or send outside messages require approval by default.

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Need tools an AI can call safely?

We build typed, logged tools and MCP servers with approval on risky actions.

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What happens next

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  2. 2.Shariq reads every message and replies by email within one business day.
  3. 3.If it fits, you get a written plan or a short call. Your choice.
  4. 4.If it does not fit, we tell you and point you to a better option.
“Shariq built our Open Dental to GoHighLevel sync and our AI routing system for new patient inquiries. Both projects were delivered fast, worked right away, and he was responsive whenever we needed adjustments. He understands dental practice workflows and doesn't overcomplicate things.”
Michael Ling, Owner, Smile Again Dental