# URL Search

The URL Search tool lets you point the chatbot at any specific public URL — paste a link directly into chat and the model fetches, reads, and analyzes the page content instantly.

***

#### What It Does

Instead of searching the web broadly, URL Search retrieves content from a specific page you provide. Simply paste any public URL directly into the chat prompt — no need to add the URL separately or wait for it to be processed before using it. The model reads the page and incorporates its content directly into the response.

Common use cases:

* Summarizing long articles or reports
* Website and landing page audits
* SEO and content analysis
* Competitive research on specific pages
* Extracting structured data from web pages

***

#### How to Use It

Toggle **URL Search** on in the Toolkit panel. Paste the URL directly into your prompt alongside your instruction.

**Example prompt:**

```
Summarize the key points from this article and identify
any data claims made: https://example.com/article
```

{% hint style="info" %}
URL Search works on publicly accessible pages. Password-protected pages, paywalled content, or pages that block automated access may not retrieve correctly.
{% endhint %}


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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://docs.qolaba.ai/chatbot/toolkit/url-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.
