Skip to main content
Glama
FujishigeTemma

semantic-scholar-mcp

get_citation

Get citation information in BibTeX, APA, MLA, or Chicago format for any paper using its ID.

Instructions

Get citation information in various formats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paper_idYesThe following types of IDs are supported: - `<sha>` - a Semantic Scholar ID, e.g. `649def34f8be52c8b66281af98ae884c09aef38b` - `CorpusId:<id>` - a Semantic Scholar numerical ID, e.g. `CorpusId:215416146` - `DOI:<doi>` - a Digital Object Identifier, e.g. `DOI:10.18653/v1/N18-3011` - `ARXIV:<id>` - arXiv.rg, e.g. `ARXIV:2106.15928` - `MAG:<id>` - Microsoft Academic Graph, e.g. `MAG:112218234` - `ACL:<id>` - Association for Computational Linguistics, e.g. `ACL:W12-3903` - `PMID:<id>` - PubMed/Medline, e.g. `PMID:19872477` - `PMCID:<id>` - PubMed Central, e.g. `PMCID:2323736` - `URL:<url>` - URL from one of the sites listed below, e.g. `URL:https://arxiv.org/abs/2106.15928v1` URLs are recognized from the following sites: - semanticscholar.org - arxiv.org - aclweb.org - acm.org - biorxiv.org
formatNoCitation format: 'bibtex', 'apa', 'mla', or 'chicago'bibtex
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Get citation information' with no mention of side effects, permissions, or response characteristics, leaving the agent uninformed about potential constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, direct sentence with no superfluous words. It is front-loaded and efficiently communicates the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 parameters, no output schema), the description is adequate but could be more complete by indicating the return format (e.g., raw text string) or mentioning that citation text is returned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the schema already provides thorough parameter descriptions for paper_id and format. The description adds no additional parameter semantics beyond what the schema offers, meeting the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get citation information' and the resource 'in various formats,' but does not explicitly distinguish from sibling tools like get_paper or get_authors, though the name implies a focus on citations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as get_paper for full paper details or search_paper for discovery. The description lacks context about appropriate use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/FujishigeTemma/semantic-scholar-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server