Single tool 'execute_skill_action' has a reasonable name starting with a verb, but critical gaps undermine quality. The tool description (89 chars) is below the 194-char baseline and lacks WHEN/WHY context. Input schema is present with two parameters (prospect_domain, intent_signals) but both descriptions are minimal (under 50 chars each). No output schema is documented, the response structure is inferred from client.py example, not formally declared. No error handling guidance, no validation rules, no recovery paths. The tool performs a complex business operation (prospect scoring + sequencing) but provides no indication of failure modes, prerequisites, or side effects. Schema is visible but sparse; descriptions are generic. This server would not pass code review for production use.

• Add formal output schema documenting all response fields: prospect_domain, intent_score (number, 0-100), intent_tier (enum: HIGH_BUYING_INTENT_TIER_1, etc.), prewarm_actions_completed (integer), outreach_sequence (array of objects with day, channel, action), predicted_reply_rate_pct (number, 0-100).
• Expand tool description to 150-250 chars: explain WHAT (prospect intent scoring and outreach sequencing), WHEN (use when you have prospect domain and detected intent signals), and WHAT IT RETURNS (intent tier, predicted reply rate, multi-channel outreach sequence).
• Add constraints to intent_signals parameter: 'Array of intent signal strings (e.g., visited_pricing_3x, read_security_whitepaper, hiring_ai_engineers). Max 20 signals. Each signal 5-50 chars.'
• Add error handling guidance: document what happens if prospect_domain is invalid, if intent_signals is empty, or if scoring service is unavailable. Return actionable error messages like 'Invalid domain format. Expected format: company.com'.
• Migrate from STDIO to HTTP+SSE or Streamable HTTP transport to enable remote accessibility and hosted client compatibility.