> ## Documentation Index
> Fetch the complete documentation index at: https://docs.asteragents.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Search Google Tool

> Get Google search results including organic results, answer boxes, and related questions

## What it does

The Search Google tool performs Google searches and returns structured results including organic search results, answer boxes, and related questions. Perfect for research, fact-checking, and gathering information from across the web.

## Key features

* Get organic Google search results with titles, snippets, and links
* Access Google's answer boxes for quick facts
* Retrieve related questions and answers
* Structured data that's easy for agents to process
* Real-time search results

## Parameters

| Parameter  | Type            | Required | Description                                                                                                                           |
| ---------- | --------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------- |
| `query`    | string          | Yes      | The search query to send to Google                                                                                                    |
| `sources`  | array \| null   | No       | Which result types to include: `web`, `news`, `images`. Defaults to `["web"]`                                                         |
| `tbs`      | string \| null  | No       | Time filter: `qdr:h` (past hour), `qdr:d` (day), `qdr:w` (week), `qdr:m` (month), `qdr:y` (year). Pairs well with `sources: ["news"]` |
| `limit`    | integer \| null | No       | Max results to return (default 10, max 50)                                                                                            |
| `location` | string \| null  | No       | Geographic location to search from (e.g. `"United States"`, `"New York City"`)                                                        |

## Common use cases

### Research topics

```
query: "artificial intelligence trends 2024"
```

Get comprehensive search results about current topics.

### Find specific information

```
query: "Python pandas dataframe merge tutorial"
```

Search for technical documentation and tutorials.

### Fact checking

```
query: "when was the Eiffel Tower built"
```

Get quick facts from Google's knowledge graph.

### Find recent news

```
query: "latest climate change research"
```

Search for current news and developments.

### Product research

```
query: "best laptop for programming 2024"
```

Research products, reviews, and comparisons.

### Local information

```
query: "restaurants near Times Square NYC"
```

Find location-based information and services.

## What you get back

* **Organic Results**: Traditional search results with titles, descriptions, and links
* **Answer Boxes**: Direct answers from Google's knowledge graph
* **Related Questions**: "People also ask" style questions and answers
* **Structured Data**: All results formatted for easy processing

## Best practices

* Use specific keywords for better results
* Include relevant context in your search terms
* Try different phrasings if initial results aren't helpful
* Combine with other tools for deeper analysis
* Be aware of search result freshness for time-sensitive queries

## Troubleshooting

**"No results found"**

* Try broader or different search terms
* Check for typos in your query
* Use more common terminology

**"Search failed"**

* Verify internet connectivity
* Try a simpler search query
* Check if the search terms might be restricted

**"Limited results"**

* Very specific queries may have fewer results
* Try related or broader search terms
* Consider breaking complex queries into parts

## Related tools

* [Ask Web](/tools/ask_web) - Get AI-powered answers using web data
* [Scrape URL](/tools/scrape_url) - Extract content from specific search results
* [Search Reddit](/tools/search_reddit) - Search specifically within Reddit