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oksure

OpenAlex Research MCP Server

by oksure

search_institutions

Search for academic institutions using filters such as country, institution type, research output count, and exact name matching to locate specific organizations or discover leading institutions in a field.

Instructions

Search for academic institutions with filters for research output, citations, and geographical location. Find leading institutions in specific areas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoInstitution name or search query. For exact phrase matching of a multi-word institution name (e.g., 'London School of Economics', 'Seoul National University'), set exact_phrase to true.
exact_phraseNoSet to true for exact phrase matching. Without this, name tokens are matched independently (may return partial matches). Use this when the query is a specific multi-word institution name.
country_codeNoFilter by ISO 3166-1 alpha-2 country code (e.g., "US", "GB", "CN")
typeNoInstitution type: education, healthcare, company, archive, nonprofit, government, facility, other
works_countNoFilter by number of works. Use >X or <X
per_pageNoResults per page (default: 10, max: 200)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions filters but does not discuss side effects, result structure, pagination behavior, or data freshness. The description is too brief for a tool without annotations.

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 sentences with no fluff, front-loading the core purpose and key filters.

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 the six parameters and no output schema, the description covers the main purpose but lacks details on result ordering, return format, or behavioral constraints. It is adequate but not thorough.

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?

The input schema has 100% description coverage and each parameter is well-documented, including the exact_phrase parameter. The tool description adds minimal additional meaning beyond the schema, so 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 it searches for academic institutions with filters for research output, citations, and geographical location. It distinguishes from sibling tools by its focus on institutions, but does not explicitly differentiate from other search tools like search_authors.

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 for finding leading institutions but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusion cases.

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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