CasualMarket
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- PythonMIT
TDQS
Scored across 23 tools
Most tools are distinct, but several pairs have overlapping purposes: get_stock_monthly_trading vs get_stock_monthly_average, get_market_index_info vs get_market_historical_index, and get_company_dividend vs get_dividend_rights_schedule. Descriptions help clarify intent, but an agent could easily select the wrong tool in these cases.
Tools overwhelmingly follow a get_<resource>_<metric> snake_case pattern, with buy/sell/check as clear action verbs. Minor inconsistency exists in mixing 'stock', 'company', and 'market' prefixes and a few long names, but the overall convention is predictable.
23 tools is on the heavy side, though the domain of Taiwan stock market data plus simulated trading is broad enough to justify many of them. A few redundant tools, such as monthly average vs monthly trading and the two market index tools, make the set feel larger than necessary.
The data surface is strong: prices, financial statements, dividends, indices, foreign holdings, margin trading, and calendar helpers are covered. However, buy_taiwan_stock and sell_taiwan_stock exist without any holdings, account balance, or order-history tools, so the simulated trading workflow has a notable dead end.