---
format: "aidr-story-markdown/v1"
id: "d6f90cb0462c10ef0c69519aacaf2ccdf1feaaf933be3f3435951e7e8ed07f5b"
canonical_url: "https://aidr.today/d6f90cb0?lang=en"
title: "Getting started with Web Answer on Amazon Bedrock AgentCore"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-05T21:04:24.000Z"
category: "Tools"
topics: ["amazon","agent","devtools"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/getting-started-with-web-answer-on-amazon-bedrock-agentcore/"]
summary: "Web Answer on Amazon Bedrock AgentCore returns a synthesized, source-cited answer to a natural-language question in a single tool call. This feature requires no search, retrieve, synthesize, and citation pipeline to build. Users can learn how to add it to an AgentCore Gateway and call it from an agent."
---

# Getting started with Web Answer on Amazon Bedrock AgentCore

> [Open the canonical story](<https://aidr.today/d6f90cb0?lang=en>)

**Published:** 2026-11-05T21:04:24.000Z
**Category:** Tools
**Topics:** amazon, agent, devtools

## Summary

Web Answer on Amazon Bedrock AgentCore returns a synthesized, source\-cited answer to a natural\-language question in a single tool call\. This feature requires no search, retrieve, synthesize, and citation pipeline to build\. Users can learn how to add it to an AgentCore Gateway and call it from an agent\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/getting-started-with-web-answer-on-amazon-bedrock-agentcore/>)