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Scored across 9 tools
Each tool has a clearly distinct purpose with no overlap: generate_api_key handles authentication, get_history provides historical trends, get_market_stats gives aggregate data, get_probability offers real-time odds, get_sentiment analyzes market psychology, get_trending identifies momentum, get_usage checks API limits, list_markets browses categories, and search_markets performs keyword searches. The descriptions clearly differentiate their functions, making misselection unlikely.
All tool names follow a consistent verb_noun pattern using snake_case, such as generate_api_key, get_history, list_markets, and search_markets. This uniformity makes the toolset predictable and easy to navigate, with no deviations in naming conventions.
With 9 tools, the count is well-scoped for a prediction market intelligence server, covering core functionalities like data retrieval, analysis, and management without being overwhelming. Each tool serves a specific, necessary role in the domain, making the set appropriately sized.
The toolset provides comprehensive coverage for accessing and analyzing prediction market data, including real-time probabilities, historical trends, sentiment, and market discovery. A minor gap exists in lacking tools for direct market interaction (e.g., placing bets or managing positions), but the described tools support core intelligence workflows effectively.