ML Research MCP

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TDQS

A4.3/5.0

Scored 2026-04-18 06:16 across 9 tools

Disambiguation5/5

Each tool has a clearly distinct purpose corresponding to a specific type of plot visualization. The descriptions clearly differentiate between bar plots, box plots, contour plots, heatmaps, histograms, line plots, pseudocolor plots, scatter plots, and violin plots. There is no functional overlap or ambiguity between these visualization types.

Naming Consistency5/5

All tool names follow a perfect 'plot_' prefix pattern with descriptive suffixes indicating the plot type. The naming is completely consistent across all nine tools, using snake_case uniformly without any deviations or mixed conventions.

Tool Count5/5

Nine tools is an appropriate number for a visualization-focused ML research server. Each tool represents a distinct, commonly used plot type in data analysis and research, making the set well-scoped without being overwhelming or insufficient for the domain.

Completeness4/5

The tool set covers most essential plot types for ML research visualization, including categorical, distribution, correlation, and relationship plots. Minor gaps might include specialized plots like 3D surface plots or network graphs, but the core visualization needs are well-covered for typical research workflows.