mcp-server-ads
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TDQS
Scored across 11 tools
Each tool has a clearly distinct purpose with no significant overlap. The tools cover different aspects of the ADS ecosystem: searching (ads_search, ads_bigquery), citation analysis (ads_citation_helper, ads_metrics), library management (ads_library, ads_library_documents), network analysis (ads_network), reference resolution (ads_resolve_reference, ads_resolve_links), object translation (ads_object_search), and export (ads_export). An agent can easily distinguish between them based on their specific functions.
All tool names follow a consistent 'ads_' prefix with descriptive snake_case suffixes (e.g., ads_search, ads_metrics, ads_library). This pattern is maintained across all 11 tools, making them predictable and easy to understand. The naming convention clearly indicates they belong to the same server and domain.
With 11 tools, this server is well-scoped for interacting with the NASA ADS database. The count is appropriate as it covers a comprehensive range of operations from basic searching to advanced analysis and management, without being overwhelming. Each tool serves a distinct and necessary function in the domain of academic paper discovery and analysis.
The tool set provides complete coverage for the ADS domain, including search (ads_search, ads_bigquery), citation management (ads_citation_helper, ads_metrics, ads_resolve_reference), library CRUD operations (ads_library, ads_library_documents), network analysis (ads_network), object translation (ads_object_search), link resolution (ads_resolve_links), and export (ads_export). There are no obvious gaps; agents can perform end-to-end workflows from discovery to analysis and organization.