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zoharbabin

Google Researcher MCP

Academic Paper Search

academic_search
Read-only

Find peer-reviewed academic papers with abstracts, citations, and PDF links. Filter by source, year, and relevance for targeted research.

Instructions

Search academic papers using Google Custom Search API.

When to use:

  • Finding peer-reviewed, authoritative sources

  • Research requiring citations and references

  • Technical/scientific topics and literature reviews

Features:

  • Paper titles, authors, abstracts

  • Publication years and venues

  • Direct PDF links (when available)

  • Pre-formatted citations (APA, MLA, BibTeX)

Academic sources: arXiv, PubMed, IEEE, Nature, Springer, ResearchGate, JSTOR, and more.

Caching: Results cached for 30 minutes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for academic papers
num_resultsNoNumber of papers to return (1-10, default: 5)
year_fromNoOnly include papers published in or after this year
year_toNoOnly include papers published in or before this year
sourceNoLimit search to specific academic source (default: all sources)all
pdf_onlyNoOnly return results with PDF links
sort_byNoSort by relevance or publication date (most recent first)relevance

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
papersYesList of academic papers
queryYesThe search query that was executed
totalResultsYesTotal papers matching query
resultCountYesNumber of papers returned
sourceYesData source
Behavior5/5

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

Beyond the readOnlyHint and openWorldHint annotations, the description adds valuable behavioral details: caching for 30 minutes, list of academic sources, and features like direct PDF links and pre-formatted citations. No contradictions.

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 well-structured with sections, front-loaded purpose, and each sentence adds value. However, it is slightly verbose and could be more compact.

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 7 parameters with full schema coverage, existing output schema, and annotations, the description covers caching, sources, use cases, and features completely. No 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?

Schema description coverage is 100%, so baseline is 3. The description adds context about features (e.g., direct PDF links) but does not enhance 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 tool searches academic papers using Google Custom Search API, specifies the resource (academic papers), and distinguishes itself from sibling tools like general web search or patent search.

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?

The 'When to use' section provides three specific use cases (peer-reviewed sources, research requiring citations, technical/scientific topics). It does not explicitly mention when not to use or compare with siblings, but the context is clear enough.

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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