good-sport

Most tools have distinct purposes with detailed descriptions. However, 'live_props' and 'prop_slate' are very similar, both showing props with model edge, which could cause confusion. Additionally, 'predictions' also includes props, adding overlap. Minor ambiguity exists.

Tool names use a mix of verb+noun, noun+noun, and adjective+noun patterns. While each name is descriptive, there is no consistent naming convention across the set (e.g., analyze_prop vs. prop_slate vs. live_props). This inconsistency could make it harder for an agent to infer tool purpose from name alone.

With 12 tools covering a diverse range of sports prediction and analysis tasks (model predictions, prop analysis, parlay building, performance evaluation, data quality, etc.), the count is well-scoped. Each tool serves a clear purpose, and there is no bloat or redundancy that makes the set unwieldy.

The tool set covers the core functionality one would expect from a sports prediction server: model predictions for games and props, edge analysis, parlay construction, performance tracking, data quality monitoring, and market movement detection. The inclusion of a health check and draft advisor adds value. However, the set is heavily focused on Underdog/PrizePicks and Kalshi, and lacks coverage for other sportsbook types (e.g., traditional spread betting tools). Minor gaps exist.