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Web Search provides AI-optimized access to current information across the internet with intelligent result ranking and relevance scoring.

Key Features

  • Real-time Results - Access latest information, news, and websites
  • Relevance Scoring - Results ranked by relevance to query
  • Safe Search - Automatic filtering of inappropriate content
  • Multiple Search Modes - General, news, images, academic
  • Source Attribution - Know where results came from

How to Enable

For Agents

  1. Agents > Select Agent > Settings
  2. Capabilities tab > Attach Capability
  3. Search for Web Search
  4. Click Attach
  5. Save

For MCP Gateways

  1. Gateways > Select Gateway
  2. Capabilities tab > Attach Capability
  3. Search for Web Search
  4. Click Attach
  5. Save

Configuration

Web Search has no required configuration. Optional settings in specifications:
{
  "web_search": {
    "safe_search": true,
    "results_limit": 10,
    "language": "en"
  }
}

Available Options

OptionDefaultEffect
safe_searchtrueFilter explicit content
results_limit10Max results returned
language”en”Search language
region”US”Region for localized results

Usage Examples

"Search for the latest AI research papers"
Returns:
{
  "results": [
    {
      "title": "...",
      "url": "...",
      "snippet": "...",
      "relevance_score": 0.95,
      "published": "2025-03-20"
    }
  ]
}
"Find recent news about quantum computing"
Focuses on news sources with publishing dates and relevance scores.
"Search academic papers on neural networks"
Returns peer-reviewed sources and citations.

Search Modes

Standard web search across all sources.
"Search for Python tutorial"

Resource Limits

LimitValueNotes
Timeout30 secondsPer request
Max Results10Per query
Max Retries3Automatic retry on failure

Limitations

  • Cannot search private sites (login required)
  • Rate-limited by search provider
  • Some sources may block automated searches
  • Results vary by region and language

Cost

For current pricing details, see Pricing. Monitor in Account > Usage dashboard.

Best Practices

Be Specific

  • Good: “Latest PyTorch releases 2025”
  • Bad: “Python”

Use Multiple Queries

Break complex questions into focused searches:
Search 1: "Kubernetes deployment best practices"
Search 2: "Kubernetes monitoring tools 2025"
Search 3: "Kubernetes security hardening"

Combine with Code Runner

Use search results with Python to:
  • Parse and analyze results
  • Extract structured data
  • Create summaries
  • Generate reports

Cache Results

For frequently searched topics, consider caching results in Files to avoid repeated queries.

Troubleshooting

No Results Found

Check:
  • Query is specific enough
  • Not searching for private/paywalled content
  • Try different keywords

Slow Responses

  • Results being processed through AI ranking
  • Network latency
  • Large result set being filtered

Missing Recent Results

  • Search index may be 24-48 hours behind
  • Check different search terms
  • Try News mode for very recent information

Next Steps