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SMABoundless

semantic-scholar-mcp-server

by SMABoundless

author_papers

Retrieve paginated papers by a specific author, including title, year, venue, and citation counts. Uses Semantic Scholar Author ID.

Instructions

Get all papers published by a specific author, paginated. Returns the author's publication list with title, year, venue, and citation counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results to return (1-100, default: 10)
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.
offsetNoOffset for pagination (default: 0)
author_idYesSemantic Scholar Author ID (numeric string, e.g. '1741101')
response_formatNoOutput format: 'markdown' for human-readable text (default), 'json' for raw structured datamarkdown
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions pagination and return fields (title, year, venue, citation counts), but does not disclose ordering, rate limits, authentication needs, or error behavior. The description is adequate but not comprehensive.

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 extremely concise at two sentences, front-loading the purpose and key output details. Every sentence adds value without redundancy.

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 no output schema and moderate complexity (5 parameters, pagination), the description partially addresses return values (listing some fields) but lacks details on pagination behavior (e.g., total count, order). It is adequate but leaves some gaps.

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?

Input schema coverage is 100%, so the baseline is 3. The description adds marginal value by hinting at default fields ('title, year, venue, and citation counts'), but this is already implied by the parameter defaults. The description does not significantly augment parameter understanding beyond the schema.

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

Purpose5/5

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

The description clearly states the action ('Get all papers'), the resource ('published by a specific author'), and pagination support. It provides a specific verb and resource, effectively distinguishing it from sibling tools like author_get (which retrieves author details) and paper_search (which searches across papers).

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

Usage Guidelines3/5

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

The description implies usage when needing an author's publication list, but it does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternative tools among the many siblings. The context is implied but not explicitly stated.

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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