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pvliesdonk

scholar-mcp

by pvliesdonk

get_author

Read-only

Fetch author profiles and publications. Use a numeric Semantic Scholar author ID for direct access, or search by name to see up to five candidate matches for disambiguation.

Instructions

Fetch author profile and publications, or search by name.

If identifier looks like a numeric S2 author ID, fetches the author directly. Otherwise performs a name search and returns up to 5 candidates for disambiguation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPublications per page (only used for direct ID lookup).
offsetNoPublication page offset (only used for direct ID lookup).
identifierYesS2 author ID (numeric string) or free-text author name.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint, so the description adds value by explaining the dual fetch/search behavior, the 5-candidate limit for name searches, and the conditional use of limit/offset.

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?

Front-loaded with the main purpose, then a concise conditional explanation. Every sentence earns its place with no redundancy.

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

Completeness5/5

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

Given the output schema and annotations, the description sufficiently covers tool behavior, parameter nuances, and disambiguation logic. No major gaps for selecting and invoking the tool.

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

Parameters4/5

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

Schema covers all parameters fully, but the description adds meaning by clarifying the identifier polymorphism and the 5-candidate result for name searches, which goes 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 tool fetches author profiles and publications or searches by name, with a specific disambiguation behavior. This distinguishes it from sibling tools like get_paper or search_papers.

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

Usage Guidelines4/5

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

Provides clear guidance on when to use direct ID lookup vs name search based on identifier format, but does not explicitly mention alternatives or exclusions. The conditional logic is a strong usage hint.

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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