Critical gaps across all dimensions. 27 tools with minimal descriptions (mostly 1-3 words: 'Ping', 'Overview', 'Quote'). No input schemas visible in source code, tool definitions inferred from TypeScript SDK and scattered Python files, not from explicit MCP registration. Parameters documented only as bare type+description pairs with no enums, ranges, or constraints. No output schemas documented. No error handling guidance. Tool names lack action verbs (e.g., 'overview', 'flow', 'stock' are ambiguous). No evidence of idempotency, pagination, or composition patterns. This server prioritizes API wrapping over agent-friendly tool design.

• Add explicit MCP tool registration with full JSON Schema definitions. Move tool definitions from scattered SDK files into a centralized, schema-compliant registration (e.g., in http_server.py or a dedicated tools.py module).
• Expand all descriptions to 50-200 characters. Example: 'quote' → 'Get real-time stock quote including price, change, volume, and timestamp for a given symbol.' This tells LLMs what data to expect and when to call it.
• Document output schemas for every tool. Example: 'Returns {symbol, price, change_pct, volume, timestamp}'. Include pagination info (limit, offset, total_count) for list tools.
• Rename tools to start with action verbs: 'overview' → 'get_market_overview', 'flow' → 'get_capital_flow', 'stock' → 'get_stock_info', 'profile' → 'get_company_profile', 'segments' → 'list_business_segments'.
• Add parameter constraints: enums for 'direction' (up/down), 'period' (1m/5m/15m/30m/60m/daily/weekly/monthly), 'adjust' (none/forward/backward); ranges for 'numDays' (1-365), 'numQuarters' (1-20), 'numResults' (1-100).