Skip to main content
Glama
JOSETRA44

scopus-mcp

by JOSETRA44

scopus_search_affiliations

Search for institution and affiliation records in Scopus to obtain affiliation IDs for author searches and filtering.

Instructions

Search for institution and affiliation records in Scopus.

Query examples:

  • AFFIL(MIT) — by name keyword

  • AFFIL(Harvard) AND COUNTRY(United States)

  • AFFIL-ID(60027950) — by Scopus affiliation ID

Returns affiliation_id needed for author searches and filtering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesAffiliation/institution search query
countNoNumber of results (1–25)
Behavior3/5

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

No annotations provided. Description implies read-only behavior with 'search' terminology but does not explicitly confirm safety or disclose any side effects. Adequate 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?

Very concise; includes query examples and purpose in a few lines. Front-loaded with key action and examples. No redundant information.

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?

For a simple search tool with two parameters and full schema coverage, the description is complete. It explains query format, parameters, and the significance of the output (affiliation_id). No output schema needed for understanding.

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?

Input schema covers 100% of parameters with descriptions. Description adds value by providing query examples and clarifying that the result is an affiliation_id, which aids understanding beyond schema definitions.

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?

Clearly states 'Search for institution and affiliation records in Scopus.' Provides query examples and mentions output purpose (affiliation_id). Distinguishes from sibling tools like scopus_search_authors or scopus_search by focus on affiliations.

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?

Gives query examples and explains that output is needed for author searches. Implicitly guides when to use (for affiliations) but does not explicitly exclude alternative tools or state when not to use.

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/JOSETRA44/scopus-mcp'

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