crypto-sentiment-mcp
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TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap. alert_social_shift detects volume changes, get_sentiment_balance measures sentiment polarity, get_social_dominance calculates discussion share, get_social_volume counts mentions, and get_trending_words identifies popular terms. The descriptions reinforce these unique functions, eliminating any confusion.
The naming follows a consistent verb_noun pattern with four tools using 'get_' and one using 'alert_'. While 'alert_' deviates slightly, it still maintains readability and logical grouping. All names are snake_case and descriptive, making the set predictable and easy to navigate.
With 5 tools, this server is well-scoped for crypto sentiment analysis. Each tool serves a specific, non-redundant function within the domain, covering key metrics like volume, sentiment, dominance, and trends. The count is neither too sparse nor bloated, fitting the purpose efficiently.
The toolset covers core aspects of crypto sentiment analysis: volume tracking, sentiment measurement, dominance calculation, and trend identification. A minor gap exists in lacking tools for historical data comparison or predictive analytics, but agents can work around this by combining existing tools for basic workflows.