@aiwerk/mcp-server-wheel-size
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TDQS
Scored across 32 tools
The tools are organized into clear categories (list-*, search-*, classified) with distinct purposes. Most tools are easily distinguishable, though a few like list-classified-rims and search-classified-rims could cause confusion due to similar names and overlapping descriptions.
The vast majority follow a consistent lowercase-hyphenated verb_noun pattern (list-*, search-*). Minor deviations like wheel-upsteps and wheel-spec-metadata break the pattern slightly, but they are still intuitive and readable.
With 32 tools, the server is over the 25-tool threshold. While the domain is complex, the high number of granular list-* tools could likely be consolidated into fewer, more flexible tools without losing functionality.
The tool surface covers the full lifecycle of wheel/tire fitment queries: reference data enumeration, vehicle-specific lookups, reverse searches by rim/tire, upsizing suggestions, and aftermarket product searches. Minor gaps exist, such as no direct search by generation, but these are workable.