@praveen030686/data-apis-mcp
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TDQS
Scored across 22 tools
Tools are generally well-differentiated by domain (crypto, finance, web extraction) and specific functions within those domains. However, some potential overlap exists between web extraction tools like web_extract_structured and web_extract_text, where the boundaries might be unclear to an agent without careful reading of descriptions.
Naming follows a highly consistent pattern throughout: all tools use snake_case with a clear domain prefix (crypto_, finance_, web_extract_) followed by a descriptive action or resource. This makes the tool set predictable and easy to navigate.
With 22 tools, the count feels heavy for a single server, especially since it spans three distinct domains (crypto, finance, web extraction). While each domain has reasonable coverage, the overall set might be better split into separate servers for clearer scoping.
Within each domain, the tool set provides good coverage: crypto tools include price, analysis, reports, and signals; finance tools cover stocks, forex, and market data; web extraction offers diverse extraction capabilities. Minor gaps exist, such as no direct crypto historical data or finance options data, but core workflows are well-supported.