Skip to main content
Glama
oksure

OpenAlex Research MCP Server

by oksure

get_top_cited_works

Retrieve the most highly cited works in a research field, filtered by topic, author, institution, journal, or year range. Identify influential papers with customizable citation thresholds.

Instructions

Find the most highly cited works in a research area or matching specific criteria. Identifies influential and seminal papers. Automatically filters for papers with significant citations. Combine with source_name or source_issn to find the most-cited papers in a specific top journal/conference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch query to filter works (optional). For exact phrase matching (e.g., 'privacy paradox' as a specific concept), set exact_phrase to true.
topicNoFilter by research topic. For exact phrase matching (e.g., 'privacy paradox' as a specific concept), set exact_phrase to true.
exact_phraseNoSet to true for exact phrase matching. Without this, search terms are matched independently. Use this when searching for a specific concept or multi-word term (e.g., 'privacy paradox', 'supply chain resilience').
search_fieldNoRestrict search to a specific field: 'title' (paper titles only), 'abstract' (abstracts only), or 'fulltext' (full text only). By default, searches across all fields. Cannot be combined with exact_phrase.
from_yearNoConsider works from this year onwards
to_yearNoConsider works up to this year
min_citationsNoMinimum citation count threshold (default: 50). Use higher values (e.g., 200) for only the most influential papers.
source_nameNoRestrict to a specific journal or conference by name (e.g., "Nature", "NeurIPS", "ICML")
source_issnNoRestrict to a specific journal/conference by ISSN (most precise)
author_institutionNoFilter by author institution. Use | for OR. E.g., "Harvard University|MIT"
institution_groupNoNamed institution group: harvard_stanford_mit, ivy_league, top_us, insead_london, top_global_business, top_china
per_pageNoNumber of top works to return (default: 10, use 20 for broader coverage, max: 200)
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It transparently states 'Automatically filters for papers with significant citations', which is a key behavior. However, it omits details like rate limits, authentication needs, or what happens when no results are found. Overall clear for a read-only query 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 three sentences long, front-loaded with the core purpose, and each sentence adds unique value. No redundant or irrelevant information.

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?

The description covers the tool's purpose and key behaviors well, but lacks information about the output format (no schema provided). Given 12 parameters and no output schema, a brief note on return fields (e.g., citation count, title) would enhance completeness, but it is still largely sufficient.

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 coverage is 100%, so the baseline is 3. The description adds value by explaining automatic filtering, providing examples (e.g., exact phrase usage), and suggesting parameter combinations (e.g., source_issn). This guidance exceeds what the schema alone offers.

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 finds 'most highly cited works' and identifies 'influential and seminal papers'. It uses a specific verb ('Find') and resource, distinguishing it from sibling tools like search_works or find_seminal_papers by its focus on citation count and automatic filtering.

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 description provides clear context on usage, e.g., 'Combine with source_name or source_issn to find the most-cited papers in a specific top journal/conference'. However, it lacks explicit guidance on when not to use this tool versus alternatives (e.g., find_seminal_papers) or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/oksure/openalex-research-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server