Steam Reviews MCP
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TDQS
Scored across 7 tools
Each tool targets a distinct Steam resource/action, and the descriptions clearly separate search, retrieval, fetching, and analysis. The only mild ambiguity is between fetch_reviews and analyze_reviews, since both operate on reviews, but the raw-data vs. insight-extraction distinction is clearly explained.
All tools follow a snake_case verb_noun pattern, which is readable and predictable. Minor inconsistency exists in resource naming, such as search_app_discussions vs. fetch_discussion_thread and the mixed use of get/fetch/search, but the overall convention is consistent.
Seven tools is a well-scoped size for a Steam community data server. Each tool covers a distinct need: game search, game details, reviews, review analysis, announcements, discussion search, and thread retrieval, with no obvious redundancy.
The tool set provides solid read coverage across the apparent domain: discovering games, retrieving game metadata, fetching and analyzing reviews, reading announcements, and browsing community discussions. Pagination support and cross-linking between discussion search and thread fetching avoid dead ends.