tavily-search

- tavily_search(query, search_depth?, topic?): AI-powered web search that returns relevant, summarized results.

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Install skill "tavily-search" with this command: npx skills add aws-samples/sample-strands-agent-with-agentcore/aws-samples-sample-strands-agent-with-agentcore-tavily-search

Tavily AI Search

Available Tools

tavily_search(query, search_depth?, topic?): AI-powered web search that returns relevant, summarized results.

  • query (string, required): Search query

  • search_depth (string, optional, default: "basic"): "basic" for quick lookups, "advanced" for comprehensive research

  • topic (string, optional, default: "general"): "general", "news", or "research"

tavily_extract(urls, extract_depth?): Extract clean, readable content from one or more web URLs.

  • urls (string, required): Comma-separated URLs to extract content from

  • extract_depth (string, optional, default: "basic"): "basic" or "advanced"

Usage Guidelines

  • Use tavily_search for research queries that benefit from AI-curated results.

  • Set search_depth to "advanced" for comprehensive research, "basic" for quick lookups.

  • Set topic to "news" for recent events, "research" for academic/technical topics.

  • Use tavily_extract to get full page content from specific URLs found in search results.

  • Tavily excels at recent information and news — prefer it for time-sensitive queries.

Citation Format

When presenting information from search results, wrap every specific claim in <cite> tags:

<cite source="SOURCE_TITLE" url="URL">claim text</cite>

Rules:

  • Cite factual claims, statistics, quotes, and specific information from search results.

  • The source attribute should contain the title or name of the source.

  • The url attribute should contain the source URL when available.

  • Do NOT cite your own reasoning or general knowledge.

  • If search results don't contain relevant information, inform the user rather than guessing.

  • Use the minimum number of citations necessary to support claims.

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