Semantic Scholar Ext Tools¶
Configuration File: semantic_scholar_ext_tools.json
Tool Type: Local
Tools Count: 4
This page contains all tools defined in the semantic_scholar_ext_tools.json configuration file.
Available Tools¶
SemanticScholar_get_paper (Type: BaseRESTTool)¶
Get detailed metadata for a specific paper from Semantic Scholar by paper ID, DOI, PubMed ID, or …
SemanticScholar_get_paper tool specification
Tool Information:
Name:
SemanticScholar_get_paperType:
BaseRESTToolDescription: Get detailed metadata for a specific paper from Semantic Scholar by paper ID, DOI, PubMed ID, or other identifier. Returns title, abstract, AI-generated TLDR summary, authors, citation count, reference count, journal, publication types, fields of study, open access PDF link, and external IDs (DOI, PubMed, ArXiv, etc.). Identifier formats: Semantic Scholar paper ID (40-char hex), DOI: prefix (e.g., ‘DOI:10.1126/science.1225829’), PMID: prefix (e.g., ‘PMID:22745249’), ArXiv: prefix (e.g., ‘ArXiv:2106.01345’), or CorpusId: prefix. This complements SemanticScholar_search_papers by providing full paper details.
Parameters:
paper_id(string) (required) Paper identifier. Supports multiple formats: Semantic Scholar ID (e.g., ‘68d962effe5520777791bd6ec8ffa4b963ba4f38’), DOI (e.g., ‘DOI:10.1126/science.1225829’), PubMed (e.g., ‘PMID:22745249’), ArXiv (e.g., ‘ArXiv:2106.01345’), or CorpusId (e.g., ‘CorpusId:14088426’).fields(string) (optional) Comma-separated list of fields to return. Available: paperId,title,abstract,year,citationCount,referenceCount,openAccessPdf,journal,publicationTypes,externalIds,authors,tldr,publicationDate,venue,fieldsOfStudy. Default returns core fields.
Example Usage:
query = {
"name": "SemanticScholar_get_paper",
"arguments": {
"paper_id": "example_value"
}
}
result = tu.run(query)
SemanticScholar_get_recommendations (Type: BaseRESTTool)¶
Get paper recommendations from Semantic Scholar for a given paper. Returns papers similar to or r…
SemanticScholar_get_recommendations tool specification
Tool Information:
Name:
SemanticScholar_get_recommendationsType:
BaseRESTToolDescription: Get paper recommendations from Semantic Scholar for a given paper. Returns papers similar to or related to the input paper based on Semantic Scholar’s recommendation algorithm. Useful for literature discovery - finding related work that you might have missed. Requires a Semantic Scholar paper ID (40-char hex). Use SemanticScholar_get_paper with DOI: prefix first to get the paper ID if you only have a DOI.
Parameters:
paper_id(string) (required) Semantic Scholar paper ID (40-char hex, e.g., ‘68d962effe5520777791bd6ec8ffa4b963ba4f38’). Get this from SemanticScholar_get_paper or SemanticScholar_search_papers.limit(integer) (optional) Number of recommendations to return (default 10, max 500)fields(string) (optional) Comma-separated fields for recommended papers: title,year,citationCount,abstract,authors,externalIds
Example Usage:
query = {
"name": "SemanticScholar_get_recommendations",
"arguments": {
"paper_id": "example_value"
}
}
result = tu.run(query)