Jesse MCP Server
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TDQS
Scored across 69 tools
The tool set has clear thematic grouping (backtesting, optimization, risk, trading, etc.), but within groups there is significant overlap and ambiguity. For example, backtest_comprehensive, backtesting_run, and benchmark_run all involve running backtests with unclear distinctions, and pairs_backtest, pairs_correlation, pairs_factors, pairs_regimes seem to target similar pairs trading analysis with fuzzy boundaries. Descriptions help somewhat, but agents may struggle to choose the right tool for specific tasks due to redundant functionality.
Naming follows a consistent snake_case pattern throughout, with a clear prefix structure (e.g., backtest_, optimization_, risk_, trading_) that groups tools by domain. However, there are minor deviations like backtesting_import_candles vs. backtest_analyze_regimes (inconsistent use of 'backtest' vs. 'backtesting'), and some tools like alerts_send_notification or rate_limit_status don't follow the prefix convention, slightly breaking consistency.
With 69 tools, the count is excessive for a single MCP server, even for a comprehensive trading platform. This creates cognitive overload and likely includes many tools that could be consolidated or omitted. A well-scoped server should typically have 3-15 tools; 69 feels bloated and indicates poor scoping, making it difficult for agents to navigate and use effectively.
The tool surface is remarkably complete for the trading strategy development and execution domain. It covers the full lifecycle: strategy creation, refinement, backtesting, optimization, risk analysis, monitoring, and live/paper trading. There are no obvious gaps; tools support CRUD operations for strategies, comprehensive analysis, and real-time trading workflows, ensuring agents can handle end-to-end tasks without dead ends.