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Scored across 32 tools
Each tool targets a specific technical indicator, data source, or analysis task with clear, non-overlapping descriptions. For example, Bollinger Bands, EMA, SMA, Stochastic, Ichimoku, and Fibonacci each have dedicated snapshot tools, while higher-level tools like analyze_indicators and analyze_market_signal provide composites. Overlap is minimal and explicitly noted (e.g., snapshots vs. chart data).
All tool names follow a consistent verb_noun pattern: verbs like analyze_, detect_, get_, prepare_, render_, run_, refresh_, validate_ are used systematically. The noun part clearly indicates the object (e.g., bb_snapshot, candle_patterns, currency_strength, orderbook). No mixed conventions or vague verbs.
With 32 tools, the server is comprehensive but slightly heavy. Each tool serves a distinct purpose in trading analysis, from indicator snapshots to backtesting and data validation. However, the count is on the higher end of reasonable; a few tools (e.g., multiple snapshot tools) could potentially be consolidated, but the scope justifies the number.
The tool surface covers the full lifecycle of technical analysis: data retrieval (get_candles, get_ticker, get_transactions), indicator analysis (snapshots and composite), pattern detection, order book analysis, flow metrics, backtesting, charting (SVG/PNG), and data quality validation. There are no obvious gaps for a typical trading analysis workflow.