jk-mcp-wsl
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TDQS
Scored across 11 tools
Each tool targets a distinct resource (standings, teams, team details, scoreboard, roster, match details, schedule, news, advanced stats) with clear boundaries. Even the analytical tools (strength of schedule, tier splits, adjusted PPG) are distinct in purpose.
All tools follow the same get_noun or get_phrase pattern using snake_case. The names clearly describe the return type (standings, teams, scoreboard) and are uniformly prefixed with 'get_'.
11 tools is well-scoped for a sports data server covering league tables, teams, matches, rosters, news, and derived analytics. Each tool serves a unique purpose without bloat.
The surface covers the main data consumers expect: standings, teams, rosters, matches, schedules, news, and advanced statistics. Minor gaps exist (e.g., no player-specific stats, no historical season data), but these are not critical for the apparent purpose.