Insight Digger MCP
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TDQS
Scored across 10 tools
Most tools have distinct purposes aligned with a clear 7-step workflow, but there is some overlap between create_configuration and generate_config that could cause confusion. Both tools generate dashboard configurations, with create_configuration being described as a 'granular step' and generate_config as generating 'markdown configuration', making their boundaries unclear. Other tools like analyze_charts, analyze_source_structure, and list_sources are well-differentiated.
The naming follows a mostly consistent verb_noun pattern (e.g., analyze_charts, list_sources, generate_strategy), but there are inconsistencies like setup_authentication (verb_noun) vs. validate_settings (verb_noun, but 'settings' is plural and less specific) and create_configuration vs. generate_config (different verbs for similar actions). While readable, these deviations reduce overall consistency.
With 10 tools, the count is well-scoped for the server's purpose of transforming business questions into dashboards and insights. Each tool corresponds to a step in the described 7-step workflow, such as authentication, source discovery, and insight generation, ensuring that every tool earns its place without being excessive or insufficient.
The tool set provides complete coverage for the data analysis workflow, from authentication (setup_authentication) to insight generation (analyze_charts). It includes all necessary steps like source listing, structure analysis, strategy planning, configuration, dashboard creation, and data fetching, with no obvious gaps. The tools support the full lifecycle, enabling agents to execute end-to-end analyses without dead ends.