Related Servers

Most tools have clearly distinct purposes (e.g., quote vs. extended quote vs. sparklines), but the social suite is crowded: stoquant_get_social_trend, stoquant_get_social_sentiment, stoquant_get_trending_social, and stoquant_get_social_momentum overlap in domain and could be confused without careful reading of descriptions. Similarly, stoquant_get_catalysts and stoquant_get_catalyst_watch are different (per-ticker vs. market-wide) but the names are close.

The naming convention is overwhelmingly consistent: a fixed 'stoquant_' prefix followed by a verb (get, run, list, explain) and a noun or noun phrase with underscores (e.g., stoquant_get_quote, stoquant_run_screener, stoquant_list_prebuilt_screens). Minor deviations include version suffixes (stoquant_get_signals_v2) and the use of 'explain' instead of 'get', but these are semantically appropriate and do not break the overall pattern.

With 49 tools, the server is heavily overloaded. While the breadth of stock research, macro data, social sentiment, and alternative data can justify many endpoints, 49 exceeds the threshold where an agent can easily navigate or remember the full surface. The count feels like the server tries to expose every feature as a separate tool rather than consolidating related functionality (e.g., multiple social tools could be merged).

The tool set is remarkably comprehensive for a stock analysis/quant research domain. It covers quotes, technicals, fundamentals, ML predictions, analyst estimates/ratings, insider trading, institutional holders, SEC filings, social sentiment, macro indicators, catalysts, alternative data, and screening. There are no obvious dead ends—each workflow has supporting tools, and the availability of both breadth (dashboard, news_events) and depth (explain_ml_prediction, evidence) makes the surface feel complete.