tavily-search

Original：🇺🇸 English

Translated

AI-powered web search and content extraction

3installs

Added on2026-03-16

NPX Install

npx skill4agent add aws-samples/sample-strands-agent-with-agentcore tavily-search

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"

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.

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Do NOT cite your own reasoning or general knowledge.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.