tavily

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Tavily web search, content extraction, and research tools.

openclaw By openclaw schedule Updated 3/20/2026

name: tavily description: Tavily web search, content extraction, and research tools. metadata: { "openclaw": { "emoji": "๐Ÿ”", "requires": { "config": ["plugins.entries.tavily.enabled"] } } }

Tavily Tools

When to use which tool

Need Tool When
Quick web search web_search Basic queries, no special options needed
Search with advanced options tavily_search Need depth, topic, domain filters, time ranges, or AI answers
Extract content from URLs tavily_extract Have specific URLs, need their content

web_search

Tavily powers this automatically when selected as the search provider. Use for straightforward queries where you don't need Tavily-specific options.

Parameter Description
query Search query string
count Number of results (1-20)

tavily_search

Use when you need fine-grained control over search behavior.

Parameter Description
query Search query string (keep under 400 characters)
search_depth basic (default, balanced) or advanced (highest relevance, slower)
topic general (default), news (real-time updates), or finance
max_results Number of results, 1-20 (default: 5)
include_answer Include an AI-generated answer summary (default: false)
time_range Filter by recency: day, week, month, or year
include_domains Array of domains to restrict results to
exclude_domains Array of domains to exclude from results

Search depth

Depth Speed Relevance Best for
basic Faster High General-purpose queries (default)
advanced Slower Highest Precision, specific facts, detailed research

Tips

  • Keep queries under 400 characters โ€” think search query, not prompt.
  • Break complex queries into sub-queries for better results.
  • Use include_domains to focus on trusted sources.
  • Use time_range for recent information (news, current events).
  • Use include_answer when you need a quick synthesized answer.

tavily_extract

Use when you have specific URLs and need their content. Handles JavaScript-rendered pages and returns clean markdown. Supports query-focused chunking for targeted extraction.

Parameter Description
urls Array of URLs to extract (1-20 per request)
query Rerank extracted chunks by relevance to this query
extract_depth basic (default, fast) or advanced (for JS-heavy pages, tables)
chunks_per_source Chunks per URL, 1-5 (requires query)
include_images Include image URLs in results (default: false)

Extract depth

Depth When to use
basic Simple pages โ€” try this first
advanced JS-rendered SPAs, dynamic content, tables, embedded content

Tips

  • Max 20 URLs per request โ€” batch larger lists into multiple calls.
  • Use query + chunks_per_source to get only relevant content instead of full pages.
  • Try basic first, fall back to advanced if content is missing or incomplete.
  • If tavily_search results already contain the snippets you need, skip the extract step.

Choosing the right workflow

Follow this escalation pattern โ€” start simple, escalate only when needed:

  1. web_search โ€” Quick lookup, no special options needed.
  2. tavily_search โ€” Need depth control, topic filtering, domain filters, time ranges, or AI answers.
  3. tavily_extract โ€” Have specific URLs, need their full content or targeted chunks.

Combine search + extract when you need to find pages first, then get their full content.

Install via CLI
npx skills add https://github.com/openclaw/openclaw --skill tavily
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