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Scored across 28 tools
Several tools have overlapping analytical purposes (e.g., 'find_drivers' and 'what_matters' both rank explanatory metrics; 'correlate' and 'regression' both assess relationships). While descriptions attempt to differentiate, an agent could easily select the wrong tool for a given task, especially for causal or explanatory queries.
All tool names use snake_case, but the structure varies: most follow a verb_noun pattern (e.g., 'create_dataset', 'search_datasets'), while others are single verbs or phrases (e.g., 'calculate', 'describe', 'what_matters'). This inconsistency may make it harder for an agent to predict tool names.
With 28 tools, the server covers a broad range of data operations from discovery to analysis to charting. While each tool may have a distinct purpose, the high number could overwhelm an agent, and some tools seem redundant (e.g., multiple correlation/regression variants).
The tool set covers the lifecycle of data: discovery, retrieval, analysis, visualization, and management. Minor gaps exist, such as the inability to update or delete individual rows, but core analytical workflows (e.g., correlation, regression, forecasting) are well-supported.
