Critical gaps across all dimensions. Descriptions are present but generic (50-80 chars), lacking LLM-optimized detail on WHEN to use each tool, prerequisites, or state transitions. No parameter descriptions exist (tools have no parameters to describe). No output schemas documented. No error handling guidance. No tool annotations. The server manages bot lifecycle (start/stop/status) but provides no way to send messages, receive them, or interact with WhatsApp, incomplete for the domain.

• Add explicit output schema to get_bot_status documenting returned fields (e.g., status: enum[stopped|starting|running|error|needs_qr|restarting], last_error: string, consecutive_errors: int, health: object). Reference mxe:response-shaper.
• Expand start_bot and stop_bot descriptions to 150-250 chars: explain state machine transitions, prerequisites (e.g., 'Requires QR scan if needs_qr state'), and side effects (e.g., 'Graceful shutdown waits for in-flight messages'). Follow pattern:tool-description.
• Add tool annotations: mark stop_bot with destructiveHint=true (stops running bot), start_bot with idempotentHint=true (safe to retry). Enables agent planning.
• Implement error handling: return structured errors with recovery guidance. E.g., 'QR timeout: call start_bot again to retry QR scan' or 'WebDriver crashed: check browser logs and restart'.
• Extend tool set: add send_message(chat_id, text), get_chats(), get_messages(chat_id, limit), mark_as_read(chat_id) to enable actual WhatsApp automation workflows.

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

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