CricketStudio MCP
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TDQS
Scored across 57 tools
Each tool targets a specific league and entity type, with clearly differentiated purposes. For example, get_bbl_player_profile and get_ipl_player_profile are distinguished by the league prefix, and search tools are league-specific. Overlaps are minimal and intentional (e.g., get_women_cricket_leaders vs get_wpl_leaderboard).
All tools follow a consistent verb_noun pattern with league prefixes (e.g., get_bbl_*, list_mlc_*, search_psl_*). Verbs are limited to get, list, and search, making the pattern predictable and easy to navigate.
57 tools is high, but each serves a distinct purpose across 7 different leagues plus cross-league tools. The count is appropriate for the breadth of data covered, though some consolidation could reduce redundancy without sacrificing clarity.
The tool surface covers essential CRUD-like operations (profiles, leaderboards, match details, search) for each league, plus cross-league and knowledge graph tools. Dataset summaries and league-specific searches ensure no dead ends. Minor gaps like missing update/delete are expected for a read-only data server.