ProteinAtlas MCP Server

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TDQS

A3.5/5.0

Scored 2026-04-18 09:30 across 16 tools

Disambiguation5/5

Every tool has a clearly distinct purpose with no ambiguity. For example, 'get_protein_info' retrieves general details, while 'get_subcellular_location' focuses on localization, and 'search_by_tissue' finds proteins based on tissue expression. The descriptions clearly differentiate between retrieval, search, and comparison operations.

Naming Consistency5/5

Tool names follow a highly consistent verb_noun pattern throughout, such as 'get_protein_info', 'search_proteins', and 'compare_expression_profiles'. All tools use snake_case with clear, descriptive verbs like 'get', 'search', and 'compare', making the naming predictable and easy to understand.

Tool Count5/5

With 16 tools, the count is well-scoped for a comprehensive protein atlas server. Each tool earns its place by covering distinct aspects like expression data, pathology, searches, and comparisons, without feeling excessive or thin for the domain's complexity.

Completeness5/5

The tool surface provides complete coverage for the protein atlas domain, including retrieval (e.g., 'get_protein_info'), search (e.g., 'search_proteins'), comparison (e.g., 'compare_expression_profiles'), and specialized data access (e.g., 'get_pathology_data'). There are no obvious gaps, supporting full agent workflows from basic lookups to advanced analyses.