---
title: hasToolCall
description: API Reference for hasToolCall.
---

# `hasToolCall()`

Creates a stop condition that stops when a specific tool is called.

This function is used with `stopWhen` in `generateText` and `streamText` to control when a tool-calling loop should stop based on whether a particular tool has been invoked.

```ts
import { generateText, hasToolCall } from 'ai';
__PROVIDER_IMPORT__;

const result = await generateText({
  model: __MODEL__,
  tools: {
    weather: weatherTool,
    finalAnswer: finalAnswerTool,
  },
  // Stop when the finalAnswer tool is called
  stopWhen: hasToolCall('finalAnswer'),
});
```

## Import

<Snippet text={`import { hasToolCall } from "ai"`} prompt={false} />

## API Signature

### Parameters

<PropertiesTable
  content={[
    {
      name: 'toolName',
      type: 'string',
      description:
        'The name of the tool that should trigger the stop condition when called.',
    },
  ]}
/>

### Returns

A `StopCondition` function that returns `true` when the specified tool is called in the current step. The function can be used with the `stopWhen` parameter in `generateText` and `streamText`.

## Examples

### Basic Usage

Stop when a specific tool is called:

```ts
import { generateText, hasToolCall } from 'ai';

const result = await generateText({
  model: yourModel,
  tools: {
    submitAnswer: submitAnswerTool,
    search: searchTool,
  },
  stopWhen: hasToolCall('submitAnswer'),
});
```

### Combining with Other Conditions

You can combine multiple stop conditions in an array:

```ts
import { generateText, hasToolCall, stepCountIs } from 'ai';

const result = await generateText({
  model: yourModel,
  tools: {
    weather: weatherTool,
    search: searchTool,
    finalAnswer: finalAnswerTool,
  },
  // Stop when weather tool is called OR finalAnswer is called OR after 5 steps
  stopWhen: [
    hasToolCall('weather'),
    hasToolCall('finalAnswer'),
    stepCountIs(5),
  ],
});
```

### Agent Pattern

Common pattern for agents that run until they provide a final answer:

```ts
import { generateText, hasToolCall } from 'ai';

const result = await generateText({
  model: yourModel,
  tools: {
    search: searchTool,
    calculate: calculateTool,
    finalAnswer: {
      description: 'Provide the final answer to the user',
      parameters: z.object({
        answer: z.string(),
      }),
      execute: async ({ answer }) => answer,
    },
  },
  stopWhen: hasToolCall('finalAnswer'),
});
```

## See also

- [`stepCountIs()`](/docs/reference/ai-sdk-core/step-count-is)
- [`generateText()`](/docs/reference/ai-sdk-core/generate-text)
- [`streamText()`](/docs/reference/ai-sdk-core/stream-text)
