Semantic Scholar Ext Tools¶
Configuration File: semantic_scholar_ext_tools.json
Tool Type: Local
Tools Count: 7
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_paper_citations (Type: BaseRESTTool)¶
List the papers that CITE a given paper, with per-citation detail: the citation INTENTS (backgrou…
SemanticScholar_get_paper_citations tool specification
Tool Information:
Name:
SemanticScholar_get_paper_citationsType:
BaseRESTToolDescription: List the papers that CITE a given paper, with per-citation detail: the citation INTENTS (background, methodology, result), an isInfluential flag (highly influential citation), and the citing-sentence CONTEXTS. This is the enumerable per-citing-paper view that aggregate citation-count or supporting/contradicting-tally tools do not provide. Provide a Semantic Scholar paper ID (40-char hex), or a DOI:/PMID:/ArXiv:/CorpusId: prefixed identifier. Use SemanticScholar_get_paper or SemanticScholar_search_papers to find the paper ID. Each result row wraps the citing paper under ‘citingPaper’.
Parameters:
paper_id(string) (required) Paper identifier whose CITING papers to list. Semantic Scholar ID (e.g., ‘649def34f8be52c8b66281af98ae884c09aef38b’ for ‘Attention Is All You Need’), or DOI:/PMID:/ArXiv:/CorpusId: prefixed identifier.fields(string) (optional) Comma-separated fields for each citation record. Citation-edge fields: intents, isInfluential, contexts. Citing-paper fields are prefixed (e.g., title, year, authors, citationCount, externalIds, openAccessPdf, abstract). Default returns intents, isInfluential, contexts and core citing-paper metadata.limit(integer) (optional) Maximum number of citing papers to return (default 20, max 1000).offset(integer) (optional) Pagination offset into the citation list (default 0).
Example Usage:
query = {
"name": "SemanticScholar_get_paper_citations",
"arguments": {
"paper_id": "example_value"
}
}
result = tu.run(query)
SemanticScholar_get_paper_references (Type: BaseRESTTool)¶
List the papers that a given paper CITES (its reference list / bibliography), with per-reference …
SemanticScholar_get_paper_references tool specification
Tool Information:
Name:
SemanticScholar_get_paper_referencesType:
BaseRESTToolDescription: List the papers that a given paper CITES (its reference list / bibliography), with per-reference detail: the citation INTENTS (background, methodology, result), an isInfluential flag, and the citing-sentence CONTEXTS for each reference. This complements bare-DOI reference lists by adding WHY each work is cited. Provide a Semantic Scholar paper ID (40-char hex), or a DOI:/PMID:/ArXiv:/CorpusId: prefixed identifier. Each result row wraps the cited paper under ‘citedPaper’.
Parameters:
paper_id(string) (required) Paper identifier whose REFERENCES (cited papers) to list. Semantic Scholar ID (e.g., ‘649def34f8be52c8b66281af98ae884c09aef38b’ for ‘Attention Is All You Need’), or DOI:/PMID:/ArXiv:/CorpusId: prefixed identifier.fields(string) (optional) Comma-separated fields for each reference record. Citation-edge fields: intents, isInfluential, contexts. Cited-paper fields are prefixed (e.g., title, year, authors, citationCount, externalIds, openAccessPdf, abstract). Default returns intents, isInfluential, contexts and core cited-paper metadata.limit(integer) (optional) Maximum number of cited papers to return (default 20, max 1000).offset(integer) (optional) Pagination offset into the reference list (default 0).
Example Usage:
query = {
"name": "SemanticScholar_get_paper_references",
"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)