Finance Toolkit
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TDQS
Scored across 27 tools
The 27 top-level tools are mostly partitioned by clear finance domains, so an agent can generally choose the right category. Minor confusion is possible among ratio categories (efficiency, liquidity, profitability, solvency, valuation) and technical-indicator categories (breadth, momentum, overlap, volatility), but the descriptions draw usable boundaries.
Most tools use consistent snake_case domain-category nouns, with search_by_category, search_metric_categories, and search_metrics forming a clear meta-search group. The convention is not verb_noun throughout, but it is predictable and readable rather than chaotic.
At 27 tools the surface is heavy for a single server, but the tools are broad category dispatchers rather than granular operations, which suits a comprehensive finance analytics toolkit. It is borderline rather than clearly excessive.
The surface covers raw market data, fundamentals, ratios, technicals, econometrics, portfolio construction, risk, options, fixed income, macro, government, environmental, labor, ETF, discovery, and meta-search workflows. No obvious material lifecycle gap appears for a finance analytics server.