Hivemind provides 10 trading tools with basic schemas and descriptions, but falls short of production quality. All tools have descriptions (10-50 chars, below the 50-200 char baseline for LLM optimization) and input schemas with type definitions. However, descriptions are generic and lack actionable context. Critical gaps: no error handling guidance, no output schemas documented, no parameter constraints (enums for symbol format, leverage bounds, etc.), and no distinction between read-only and destructive operations in descriptions. The trading domain requires precise parameter validation (leverage limits, position sizing rules) which is entirely absent. Tools like open_long and open_short are IRREVERSIBLE but lack confirmation patterns or dry-run support.

• Expand all descriptions to 50-200 characters. Example: 'get_price' → 'Fetch the current market price (last trade) for a trading pair. Use before opening positions to confirm entry price. Returns bid, ask, and last_price fields.'
• Document output schemas for all tools. Specify which fields are returned, their types, and which are required for downstream calls (e.g., position_id needed for close_long).
• Add parameter constraints: leverage as enum or range (1-125), symbol as regex pattern or enum of supported pairs, interval as enum (Min1, Min5, Min15, Min60, Hour4, Day1, Week1, Month1).
• Implement confirmation pattern for open_long/open_short: add a 'dry_run' parameter (default false) that returns estimated cost/margin without executing, or require explicit 'confirm=true' parameter.
• Add error guidance to descriptions: 'set_leverage: Fails if leverage exceeds exchange limits (1-125x) or if position already open. Call get_positions first to check. Returns error code and suggested max leverage.'
• Document parameter dependencies: 'stop_loss and take_profit are optional but recommended for risk management. If omitted, position has no automatic exit.'