Single tool 'execute_skill_action' has a verb-noun name (positive), but the implementation is severely deficient. The tool description is only 56 characters, below the 10-1024 character guideline and lacks WHAT/WHEN/WHY context. Input schema is present with two parameters (incoming_emails_count, vip_senders) but both descriptions are generic (11 and 27 chars respectively), far below the 72-char baseline. No output schema is documented anywhere. The mcp_server.py file does not actually implement MCP protocol, it just prints a JSON status message and exits. The client.py file contains mock implementation with hardcoded responses, not real tool invocation. No error handling, no validation, no recovery guidance. Tool does not appear to be properly registered in an MCP-compliant way.

• Expand tool description to 150-250 characters explaining: (1) What it does, 'Automatically triage and categorize incoming emails into priority buckets (VIP, FYI, bulk) and generate one-line summaries and draft replies'; (2) When to use it, 'Call when user wants to achieve inbox zero or prioritize high-value messages'; (3) What it returns, 'Categorized email batches, summary cards, and draft replies'.
• Add format and range constraints to parameters: incoming_emails_count should specify 'integer, 1-1000 (number of emails to process in this batch)'; vip_senders should specify 'array of valid email addresses (format: [email protected]), max 50 entries'.
• Document the output schema explicitly in the tool definition. Include field names, types, and descriptions: triage_batch_id (string, unique batch identifier), emails_processed_count (integer), split_inbox_categories (object with keys VIP_ACTION_REQUIRED, READ_STATUS_FYI, NEWSLETTER_BULK_ARCHIVED, each an integer count), time_to_inbox_zero_seconds (integer), ai_one_line_summary_cards_generated (integer), contextual_instant_reply_drafts_ready (integer), inbox_zero_achieved (boolean).
• Implement actual MCP protocol in mcp_server.py: handle JSON-RPC 2.0 requests on stdin, parse tool calls, invoke the client logic, and return structured responses with proper error handling. Use an MCP SDK (e.g., mcp-python) to ensure spec compliance.
• Add input validation and error responses: reject incoming_emails_count < 1 or > 1000 with 'Invalid incoming_emails_count: must be 1-1000'; reject malformed email addresses in vip_senders with 'Invalid email in vip_senders: <email> does not match format [email protected]'.