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alimov-andrey

Google Scholar MCP Server

search_articles

Search for academic articles on Google Scholar. Returns results including title, authors, year, citation count, and links. Filter by publication year and language.

Instructions

Search for academic articles on Google Scholar.

Returns articles with title, authors, year, citation count, and links. Use citation_id for get_citations and cluster_id for get_article_versions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for articles
year_toNoFilter articles up to this year
languageNoLanguage code (e.g., 'en', 'ru')en
year_fromNoFilter articles from this year
num_resultsNoNumber of results (max 20)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
articlesYes
total_resultsYes
Behavior3/5

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

With no annotations, the description carries full burden. It discloses the source (Google Scholar) and return data, but omits details on rate limits, authentication, error handling, or pagination. The behavior is adequately described for a simple search tool.

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 two concise sentences: one for purpose, one for return value and usage linkage. No extraneous information, every sentence adds value.

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

Completeness4/5

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

Given the presence of an output schema, the description sufficiently covers the tool's functionality and return data. It could mention default parameters or limits, but is complete enough for a search tool.

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% and each parameter has a clear description in the schema. The tool description does not add deeper semantics for the input parameters, only referencing output IDs for sibling tools. Baseline 3 is appropriate.

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 searches for academic articles on Google Scholar and lists the return fields. It implies differentiation from siblings by referencing their output IDs, but does not explicitly contrast with alternatives.

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 gives indirect guidance by pointing to sibling tools for specific tasks (get_citations, get_article_versions), but lacks explicit when-to-use or when-not-to-use statements. No prerequisites or exclusions are mentioned.

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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