Searches the Scopus library by accepting standard textual querying or advanced Scopus Boolean Syntax (e.g. TITLE-ABS-KEY(artificial intelligence) AND PUBYEAR > 2020). Returns metadata summaries. Set use_scopus=False to use OpenAlex which guarantees Open Access PDF links but might have less robust abstracts in standard search. sort_by: 'relevance' (default), 'cited_by_count' (most cited first), 'publication_year' (newest first). Only works with OpenAlex. Returns a formatted string of results.

Get detailed metadata and the full abstract for a specific paper. If the paper_id looks like a Scopus ID (e.g., SCOPUS_ID:85123) or a DOI (10.xxx), it uses Scopus. Returns formatted detailed text.

Extracts full text from an Open Access PDF or HTML page given its URL. This is best used after finding an OA PDF link from search_papers_openalex. Use start_page/end_page (1-indexed) to extract only specific pages from long PDFs. Warning: This can return a very large string.

Multimodal Vision Tool. Downloads a PDF and renders the specified number of pages identically into images for the AI to 'look at'. Use this if the user asks you to analyze a graph, table, format, or layout in the paper. If the text extractor doesn't capture formatting, you can use this tool to 'see' the actual PDF! Returns a sequence of texts and images (multimodal format natively parsed). Warning: High token/vision capacity used per page. Default 3 pages.

Checks the Unpaywall database using a DOI to find a legal Open Access PDF link. If found, returns the URL. If not, returns that it's behind a strict paywall.

Tracks lineage by retrieving a paper's citations. Provide a DOI (10.xxx) or OpenAlex ID (Wxxx). Set direction="references" to see who this paper cites. Set direction="citations" to see who cited this paper recently.

Rapidly autocomplete author names via OpenAlex to find the correct OpenAlex ID. Useful for disambiguation before tracking works.

Search for deep author profiles via OpenAlex. Returns h-index, i10-index, and recent institutions.

Retrieve chronologically sorted publications for an OpenAlex author ID. E.g., input 'W123456789' or 'https://openalex.org/A123456789'.

Retrieve Elsevier Scopus Author Profile strictly using a Scopus Author ID (digits). Returns precise academic h-index and document metrics from Scopus.

Natively search Unpaywall's database via paper titles. Set is_oa=True to strictly return Open Access results.

An all-in-one bypass. Takes a DOI, resolves its best PDF on Unpaywall, and directly downloads/extracts the text using PyMuPDF.

Generate a BibTeX entry for a paper given its DOI. Uses CrossRef content negotiation to produce a properly formatted BibTeX string ready for use in LaTeX documents.

Format a citation for a paper in a specific style. Supported styles: apa, ieee, chicago-author-date, harvard-cite-them-right, vancouver, modern-language-association, turabian-fullnote-bibliography. Uses CrossRef/DOI content negotiation for authoritative formatting.

Find related/similar papers for a given paper. Accepts a DOI (10.xxx) or OpenAlex ID (Wxxx). Uses OpenAlex's bibliographic coupling and co-citation analysis to find semantically related works.

Batch-fetch metadata for multiple DOIs in a single call. Accepts a list of DOIs (up to 50). Returns title, authors, year, citation count, and OA status for each. Useful for processing reference lists or comparing multiple papers at once.

Browse and discover research topics/concepts for a given keyword. Returns topic names, their parent fields, domains, and publication volume. Useful for mapping a research landscape, finding subfields, or identifying trending areas.

Look up an author directly by their ORCID identifier. Accepts raw ORCID (e.g. 0000-0002-9322-3515) or full URL (https://orcid.org/0000-0002-9322-3515). Returns the full author profile including h-index, works count, and affiliations.

Search papers using Semantic Scholar (S2). S2 provides excellent relevance sorting and AI-generated TLDRs on details. NOTE: S2 has a strict 1 request/second rate limit, so this tool may be slightly slower than OpenAlex or Scopus.

Get detailed metadata from Semantic Scholar, including the AI-generated TLDR. Accepts an S2 paper ID or a DOI (e.g., 10.1038/nrn3241).

Get author bibliometrics from Semantic Scholar using an S2 authorId.

Attempts to resolve a strict paywalled DOI to a free direct PDF link using Sci-Hub.

An all-in-one bypass that resolves a DOI via Sci-Hub and directly extracts its full text using PyMuPDF.

Search for books using either 'openlibrary' or 'googlebooks'. Returns a list of matching books with titles, authors, and year.

Get detailed metadata for a specific book. Provide the book_id (e.g., OL12345W or Google Volume ID) and the source ('openlibrary' or 'googlebooks').

Search for books in Library Genesis (Libgen). Returns books with their 'md5' which can be used to extract the text. BEST PRACTICE: To know what a book is about before downloading, ALWAYS use 'search_books_tool' (Open Library/Google Books) FIRST to read its synopsis/description. Once you decide which book is best, use this tool to find its MD5 for text extraction.

Extract text or interact with a book using its Libgen MD5 hash. action:

• 'toc': Returns the table of contents.

• 'search': Searches for 'keyword' and returns only pages where it is found.

• 'pages': Extracts text strictly from 'start_page' to 'end_page'.