InsightSentry MCP
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TDQS
Scored across 29 tools
Tools are generally well-distinguished by asset class and action. The main ambiguity is between get_symbol_history (deep archive) and get_symbol_series (recent data), which have subtle distinctions that could cause misselection. Options endpoints (get_options_expiration, get_options_strike, list_options) are actually well-differentiated by filtering approach.
Follows a consistent verb_noun pattern with 'get_' prefix dominating (14 tools). Minor deviations include 'list_options' (should be 'get_options' to match 'get_documents') and 'search_symbols' (semantically distinct from 'screen_' but slightly inconsistent). The 'screen_' and 'get_*_screener_params' patterns are consistently applied across asset classes.
At 29 tools, this exceeds the 25+ threshold where toolsets typically become unwieldy. While the financial data domain is broad, the count feels heavy—screeners and their param getters for each asset class (8 tools total) could potentially be consolidated, as could the two historical data endpoints. Agents may struggle to navigate the full surface area efficiently.
Provides comprehensive coverage for financial market data: four asset classes with screeners (stocks, bonds, ETFs, crypto), options chains, fundamentals (meta, current, time-series), corporate calendars (earnings, dividends, IPOs), documents, and news. Minor gaps include the lack of a futures screener (despite having futures contract support) and no dedicated technical indicator endpoint outside of screening.