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Cortexa research tool·literature·semantic_scholar
SemanticScholar Search Papers
Search for papers on Semantic Scholar including abstracts and AI-generated TLDR summaries. This tool queries the Semantic Scholar API using natural language keywords and returns papers with details such as title, abstract, TLDR summary, fields of study, publication year, journal (venue), and URL. Rate limits: 1 req/sec without API key, 100 req/sec with SEMANTIC_SCHOLAR_API_KEY environment variable set.
Livelast probed 2026-04-30 23:07Z· 5632msCortexa
Status
The most recent probe succeeded. Safe to call from the agent today.
- Last probed
- 1d ago
- Last success
- 1d ago
- Last latency
- 5632ms
Schema
JSON Schema the agent (or your API call) must match.
{
"properties": {
"include_abstract": {
"default": false,
"description": "If true, best-effort fetches missing abstracts via the paper detail endpoint (only when abstract is missing in search results).",
"type": "boolean"
},
"limit": {
"default": 5,
"description": "Maximum number of papers to return from Semantic Scholar.",
"type": "integer"
},
"query": {
"description": "Search query for Semantic Scholar. Use keywords separated by spaces to refine the search.",
"type": "string"
},
"sort": {
"description": "Sort results. Options: 'citationCount:desc', 'citationCount:asc', 'publicationDate:desc', 'publicationDate:asc'.",
"type": "string"
},
"year": {
"description": "Filter results by publication year. Use a single year (e.g., '2024') or a range (e.g., '2020-2024').",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
}Examples (1)
Default SemanticScholar Search Papers call
public-safeinput
{
"include_abstract": false,
"limit": 3,
"query": "BRCA1"
}Expected response keys: success
Anonymous-safe example. Rate-limited; no sign-in required.
Identifiers
- Catalog ID
- tu_SemanticScholar_search_papers
- Tool name
- SemanticScholar_search_papers
- Added
- 2026-04-30 22:47Z
- Tags
- tooluniverse