data-explore
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TDQS
Scored across 3 tools
The tools clean_data and statistical_summary are fairly distinct, but analyze_dataset overlaps with statistical_summary in correlation and summary analyses. An agent might confuse which tool to use for correlation analysis between the two. Some descriptions help clarify the intent.
Most tools follow a verb_noun pattern (analyze_dataset, clean_data), but statistical_summary deviates as an adjective_noun phrase. This is a minor inconsistency that could confuse prediction of tool names.
Three tools is on the low side but fits the focused domain. Each tool covers a broad category of operations, which keeps the surface manageable. The count seems appropriate for a simple data exploration server.
Core data exploration tasks are covered: analyzing, cleaning, and statistical testing. Missing capabilities like data preview or visualization are minor and can be worked around. The overlap between analyze_dataset and statistical_summary leaves some statistical tests only in one tool, but the surface is generally complete.