AxionQuant MCP Server
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TDQS
Scored across 132 tools
Tools are clearly distinguished by asset class prefix (etf_, crypto_, stocks_, etc.) and action, making most purposes unambiguous. However, the sheer volume and a few overlapping tools (e.g., econ_search vs econ_find, filings_search vs filings_recent) introduce minor potential for misselection.
All tool names follow a consistent snake_case pattern with a category prefix and descriptive suffix (e.g., etf_gainers, financials_pe, insiders_activity). Even across different asset classes and data types, the conventions are uniform and predictable.
With 132 tools, the count is extremely high, far exceeding the recommended range even for a comprehensive financial data server. This overwhelms the tool selection space and makes it difficult for agents to navigate, qualifying as an extreme mismatch per calibration.
The tool surface covers an extensive range of financial data: asset classes, quotes, historical prices, fundamentals, filings, sentiment, economic data, and more. Minor gaps exist (e.g., no options or bond-specific exposure tools), but overall coverage is strong for the apparent purpose.