AI / Tools + actions

AI Function Calling and Tool Use

Turn natural-language intent into structured, validated requests that your application can safely execute.

Design principle

Keep control in the application.

The model requests. The application validates. Business code executes.

Future-ready

Build around interfaces, not hype.

Provider-specific code should be isolated enough that better models can be adopted without rebuilding the website or business logic.

Capabilities

What the integration layer can support.

01 / Capability

Structured tool schemas

02 / Capability

Input validation

03 / Capability

Permission checks

04 / Capability

Idempotent actions

05 / Capability

Human confirmation

06 / Capability

Tool-result handling

Examples

Useful AI starts with a specific job.

Use case 01

Request appointment availability.

Use case 02

Look up product or service records.

Use case 03

Prepare CRM notes or draft messages.

FAQ

Questions about AI Function Calling and Tool Use.

The implementation details change by business, but the architecture should keep authority, permissions and source data outside the model.

What is AI Function Calling and Tool Use?

Turn natural-language intent into structured, validated requests that your application can safely execute.

How should AI Function Calling and Tool Use be implemented?

The model requests. The application validates. Business code executes.

What can AI Function Calling and Tool Use support?

Depending on the business need, the integration can support Structured tool schemas, Input validation, Permission checks, Idempotent actions, Human confirmation, Tool-result handling.