# Web Search

The agent can search the live web on its own. Backed by a server-side proxy (Parallel) so you don't carry a search API key, the tool returns titles, snippets, and URLs ready to follow up on.

## What it's good for

* Research - "what's the latest on X".
* Citation hunting - "find me three sources for Y".
* Fact-checking before answering - the agent runs a quick search if it isn't confident.

## How it differs from generic HTTP

A pure `http_request` tool can fetch a URL but can't *find* one. Web Search is the discovery layer: it picks the right URLs for the agent, which then hands them off to the [Web Scraper](/openhuman/features/native-tools/web-scraper.md) for the actual reading.

## See also

* [Web Scraper](/openhuman/features/native-tools/web-scraper.md) - fetch and clean a specific URL.
* [Smart Token Compression](/openhuman/features/token-compression.md) - search snippets are compressed before they hit the model.


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# 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://tinyhumans.gitbook.io/openhuman/features/native-tools/web-search.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.
