Critical gaps across all dimensions. Tool descriptions are minimal (10-30 chars), far below the 194-char baseline. The place_order tool has a dangerously vague 'order_params' object with no nested schema or constraints, LLMs cannot infer valid structure. No parameter descriptions for any tool. No output schemas documented. Error handling is generic exception strings with no recovery guidance. Credentials are hardcoded in config.py and passed via environment, but the server lacks permission gates, audit logging, and input validation. No tool annotations (readOnlyHint/destructiveHint) despite clear risk levels. The codebase shows HTTP transport but the MCP integration is incomplete, tool registration is inferred from method names rather than explicit schema definitions.

• Expand all tool descriptions to 100 - 250 characters. Include WHAT (e.g. 'Retrieves current open positions'), WHEN (e.g. 'Call before placing orders to check available margin'), and any prerequisites (e.g. 'Requires active session').
• Replace 'order_params' object with explicit nested schema: define required fields (symbol, quantity, price, order_type), their types (string, number, enum), and constraints (e.g. quantity > 0, order_type in [MARKET, LIMIT, STOP]).
• Document output schemas for all tools. E.g. get_profile returns {user_id, name, email, account_type, balance}; get_positions returns [{symbol, quantity, entry_price, current_price, pnl}].
• Add tool annotations: mark get_* tools with readOnlyHint=true; mark place_order with destructiveHint=true and require a confirmation step (e.g. 'confirm_order' tool that validates and executes).
• Implement structured error responses: categorize as retryable (timeout, rate_limit) or user-fixable (invalid_symbol, insufficient_margin), and include actionable guidance (e.g. 'Symbol not found. Call search_symbols() with a partial name.').

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry