AWS Documentation

Tools to access AWS documentation, search for content, and get recommendations.

100K+4 ToolsPackaged by

Tools

Name Description

recommend Get content recommendations for an AWS documentation page. ## Usage This tool provides recommendations for related AWS documentation pages based on a given URL. Use it to discover additional relevant content that might not appear in search results. ## Recommendation Types The recommendations include four categories: 1. **Highly Rated**: Popular pages within the same AWS service 2. **New**: Recently added pages within the same AWS service - useful for finding newly released features 3. **Similar**: Pages covering similar topics to the current page 4. **Journey**: Pages commonly viewed next by other users ## When to Use - After reading a documentation page to find related content - When exploring a new AWS service to discover important pages - To find alternative explanations of complex concepts - To discover the most popular pages for a service - To find newly released information by using a service's welcome page URL and checking the **New** recommendations ## Finding New Features To find newly released information about a service: 1. Find any page belong to that service, typically you can try the welcome page 2. Call this tool with that URL 3. Look specifically at the **New** recommendation type in the results ## Result Interpretation Each recommendation includes: - url: The documentation page URL - title: The page title - context: A brief description (if available)

search_documentation Search AWS documentation using the official AWS Documentation Search API. ## Usage This tool searches across all AWS documentation for pages matching your search phrase. Use it to find relevant documentation when you don't have a specific URL. ## Search Tips - Use specific technical terms rather than general phrases - Include service names to narrow results (e.g., "S3 bucket versioning" instead of just "versioning") - Use quotes for exact phrase matching (e.g., "AWS Lambda function URLs") - Include abbreviations and alternative terms to improve results - Use guide_type and product_type filters found from a SearchResponse's "facets" property: - Filter only for broad search queries with patterns: - "What is [service]?" -> product_types: ["Amazon Simple Storage Service"] - "How to use <service 1> with <service 2>?" -> product_types: [<service 1>, <service 2>] - "[service] getting started" -> product_types: [<service>] + guide_types: ["User Guide, "Developer Guide"] - "API reference for [service]" -> product_types: [<service>] + guide_types: ["API Reference"] ## Result Interpretation Each SearchResponse includes: - search_results: List of documentation pages, each with: - rank_order: The relevance ranking (lower is more relevant) - url: The documentation page URL - title: The page title - context: A brief excerpt or summary (if available) - recommended_sections: A subset of section titles ranked as most relevant to the query, in rank order (when available) - Pass these directly to read_sections for targeted content extraction - sections: All available section titles for this page (when available) - individual titles can be used with the read_sections tool for targeted content extraction - metadata: Optional per-result context (when available). May include: - additional_urls: Other doc URLs related to the same result `{url, section_title, section_anchor}` - pass `section_title` to read_sections to fetch content; use `url#section_anchor` when citing - facets: Available filters (product_types, guide_types) for refining searches - query_id: Unique identifier for this search session - metadata: Optional response-level context (when available). May include: - discovered_services: AWS services inferred from the query that may be relevant beyond the top results - related_tasks: Related operations or workflows the user may want to follow up on, each with its own doc URLs - relationships: Named connections between information in the search results, useful for understanding how the returned topics relate to each other

Name	Description
`recommend`	Get content recommendations for an AWS documentation page. ## Usage This tool provides recommendations for related AWS documentation pages based on a given URL. Use it to discover additional relevant content that might not appear in search results. ## Recommendation Types The recommendations include four categories: 1. Highly Rated: Popular pages within the same AWS service 2. New: Recently added pages within the same AWS service - useful for finding newly released features 3. Similar: Pages covering similar topics to the current page 4. Journey: Pages commonly viewed next by other users ## When to Use - After reading a documentation page to find related content - When exploring a new AWS service to discover important pages - To find alternative explanations of complex concepts - To discover the most popular pages for a service - To find newly released information by using a service's welcome page URL and checking the New recommendations ## Finding New Features To find newly released information about a service: 1. Find any page belong to that service, typically you can try the welcome page 2. Call this tool with that URL 3. Look specifically at the New recommendation type in the results ## Result Interpretation Each recommendation includes: - url: The documentation page URL - title: The page title - context: A brief description (if available)
`search_documentation`	Search AWS documentation using the official AWS Documentation Search API. ## Usage This tool searches across all AWS documentation for pages matching your search phrase. Use it to find relevant documentation when you don't have a specific URL. ## Search Tips - Use specific technical terms rather than general phrases - Include service names to narrow results (e.g., "S3 bucket versioning" instead of just "versioning") - Use quotes for exact phrase matching (e.g., "AWS Lambda function URLs") - Include abbreviations and alternative terms to improve results - Use guide_type and product_type filters found from a SearchResponse's "facets" property: - Filter only for broad search queries with patterns: - "What is [service]?" -> product_types: ["Amazon Simple Storage Service"] - "How to use <service 1> with <service 2>?" -> product_types: [<service 1>, <service 2>] - "[service] getting started" -> product_types: [<service>] + guide_types: ["User Guide, "Developer Guide"] - "API reference for [service]" -> product_types: [<service>] + guide_types: ["API Reference"] ## Result Interpretation Each SearchResponse includes: - search_results: List of documentation pages, each with: - rank_order: The relevance ranking (lower is more relevant) - url: The documentation page URL - title: The page title - context: A brief excerpt or summary (if available) - recommended_sections: A subset of section titles ranked as most relevant to the query, in rank order (when available) - Pass these directly to read_sections for targeted content extraction - sections: All available section titles for this page (when available) - individual titles can be used with the read_sections tool for targeted content extraction - metadata: Optional per-result context (when available). May include: - additional_urls: Other doc URLs related to the same result `{url, section_title, section_anchor}` - pass `section_title` to read_sections to fetch content; use `url#section_anchor` when citing - facets: Available filters (product_types, guide_types) for refining searches - query_id: Unique identifier for this search session - metadata: Optional response-level context (when available). May include: - discovered_services: AWS services inferred from the query that may be relevant beyond the top results - related_tasks: Related operations or workflows the user may want to follow up on, each with its own doc URLs - relationships: Named connections between information in the search results, useful for understanding how the returned topics relate to each other

AWS Documentation

Tools

Related servers