# Search Google

{% embed url="<https://www.youtube.com/embed/xIH-bhsZ1jQ>" %}

## Configuration

### Search Query&#x20;

Type in the text query that will be sent to Google. The search query can include variables.&#x20;

### Output Variable&#x20;

Specify the name of the output variable that will store the results. Example: `googleSearch_results`

### Format

Select the format you want to save the returned result as:

* **Plain Text**
* **JSON**

## Sample Output - Plain text

```json
Title: [Topic] - Wikipedia
Description: [Brief overview of topic with generic information]
URL: https://en.wikipedia.org/wiki/[Topic]

Title: [Topic] Explained - Expert Guide
Description: Comprehensive breakdown of key concepts, history, and current trends in [topic area]
URL: https://www.example-expert-site.com/guide/[topic]

Title: Top [Number] [Topic] Insights
Description: In-depth analysis of [topic] including recent developments and important considerations
URL: https://www.research-platform.com/insights/[topic]

Title: Understanding [Topic]: A Complete Resource
Description: Detailed exploration of [topic], covering essential aspects and practical applications
URL: https://www.learning-center.org/[topic]-guide
```

## Sample Output - JSON

```json
[
    {
        "title": "Example Website",
        "description": "Placeholder website description",
        "url": "https://example.com/"
    },
    {
        "title": "Another Website",
        "description": "Generic website description",
        "url": "https://example-b.org"
    }
]
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://university.mindstudio.ai/docs/building-ai-agents/blocks-reference/search-google.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.