web-search-advanced-research-paper - Claude MCP Skill

# Web Search Advanced - Research Paper Category

## Tool Restriction (Critical)

ONLY use `web_search_advanced_exa` with `category: "research paper"`. Do NOT use other categories or tools.

## Full Filter Support

The `research paper` category supports ALL available parameters:

### Core
- `query` (required)
- `numResults`
- `type` ("auto", "fast", "deep", "neural")

### Domain filtering
- `includeDomains` (e.g., ["arxiv.org", "openreview.net"])
- `excludeDomains`

### Date filtering (ISO 8601)
- `startPublishedDate` / `endPublishedDate`
- `startCrawlDate` / `endCrawlDate`

### Text filtering
- `includeText` (must contain ALL)
- `excludeText` (exclude if ANY match)

**Array size restriction:** `includeText` and `excludeText` only support **single-item arrays**. Multi-item arrays (2+ items) cause 400 errors. To match multiple terms, put them in the `query` string or run separate searches.

### Content extraction
- `textMaxCharacters` / `contextMaxCharacters`
- `enableSummary` / `summaryQuery`
- `enableHighlights` / `highlightsNumSentences` / `highlightsPerUrl` / `highlightsQuery`

### Additional
- `userLocation`
- `moderation`
- `additionalQueries`
- `maxAgeHours` / `livecrawlTimeout`
- `subpages` / `subpageTarget`

## Token Isolation (Critical)

Never run Exa searches in main context. Always spawn Task agents:
- Agent calls `web_search_advanced_exa` with `category: "research paper"`
- Agent merges + deduplicates results before presenting
- Agent returns distilled output (brief markdown or compact JSON)
- Main context stays clean regardless of search volume

## When to Use

Use this category when you need:
- Academic papers from arXiv, OpenReview, PubMed, etc.
- Scientific research on specific topics
- Literature reviews with date filtering
- Papers containing specific methodologies or terms

## Examples

Recent papers on a topic:
```
web_search_advanced_exa {
  "query": "transformer attention mechanisms efficiency",
  "category": "research paper",
  "startPublishedDate": "2024-01-01",
  "numResults": 15,
  "type": "auto"
}
```

Papers from specific venues:
```
web_search_advanced_exa {
  "query": "large language model agents",
  "category": "research paper",
  "includeDomains": ["arxiv.org", "openreview.net"],
  "includeText": ["LLM"],
  "numResults": 20,
  "type": "deep"
}
```

## Output Format

Return:
1) Results (structured list with title, authors, date, abstract summary)
2) Sources (URLs with publication venue)
3) Notes (methodology differences, conflicting findings)