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The Web Search connector lets agents search the web, read specific URLs, and gather up-to-date external information. It finds relevant online sources, extracts their content, and returns concise, evidence-based summaries.
Web Search is essential when you need information that may not be available in a static knowledge base, for example recent news, fresh research, or dynamic content that changes frequently.

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Capabilities

The Web Search connector can:
  • Search the web for sources relevant to a query
  • Read specific URLs and extract their content
  • Synthesize concise, source-grounded summaries
  • Filter results to or from specific domains and tune search depth (basic vs. advanced)

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Use cases

  • Surfacing recent medical research and publications
  • Verifying claims against multiple online sources
  • Pulling current news, policy updates, or product information
  • Retrieving information not yet indexed in static reference databases

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Configuration

The Web Search connector exposes optional search configuration including include_domains, exclude_domains, max_results, and search_depth (basic or advanced). Use these to constrain results to trusted domains or to trade off latency for thoroughness.

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Detailed information

The Web Search connector is a focused research connector: it does not interact with end users directly, but instead follows structured agent runtime instructions and returns factual, well-organized findings grounded entirely in the data its tools return. Outputs use Markdown structure so downstream agents and humans can both consume them easily.