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SMABoundless

semantic-scholar-mcp-server

by SMABoundless

author_get

Fetch a researcher's complete profile from Semantic Scholar by author ID, returning affiliations, h-index, paper count, and citation count.

Instructions

Retrieve full profile for a Semantic Scholar author. Returns name, affiliations, homepage, h-index, paper count, and citation count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoComma-separated fields to return, overriding defaults. Paper fields: paperId, title, abstract, authors, year, citationCount, referenceCount, influentialCitationCount, isOpenAccess, openAccessPdf, fieldsOfStudy, externalIds, url, venue, publicationVenue, publicationTypes, publicationDate, journal, citations, references. Author fields: authorId, name, affiliations, homepage, paperCount, citationCount, hIndex.
author_idYesSemantic Scholar Author ID (numeric string, e.g. '1741101')
response_formatNoOutput format: 'markdown' for human-readable text (default), 'json' for raw structured datamarkdown
Behavior2/5

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

No annotations are provided, so the description carries full burden. It lists return fields but does not disclose behavioral traits such as read-only nature, rate limits, or side effects.

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

Conciseness4/5

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

The description is a single concise sentence with key information upfront. It efficiently conveys the purpose without wordiness.

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?

For a tool with 3 parameters and no output schema, the description adequately states what is returned but lacks information on error handling, pagination, or the full scope of the 'fields' parameter usage.

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 coverage is 100% with descriptions for all parameters. The description adds a summary of returned fields but no additional semantic meaning beyond what the schema provides.

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 tool retrieves a full author profile from Semantic Scholar and lists specific fields. However, it does not differentiate from the sibling tool 'author_batch' which also retrieves author profiles.

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 on when to use this tool versus alternatives like 'author_search' or 'author_papers'. The description does not mention prerequisites or when not to use.

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

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