Single tool 'execute_skill_action' has critical definition gaps. Description is present (97 chars) but vague, does not explain WHAT operations it performs, WHEN to use it, or what it returns. Input schema exists with one parameter 'query_payload' (string, no format/length constraints), but lacks output schema documentation. No parameter validation rules, no error handling guidance, no security considerations. Tool name uses verb but is overly generic ('execute_skill_action' could mean anything). No indication of idempotency, side effects, or prerequisites. Fails to meet baseline standards for LLM-optimized tool definitions.

• Rename tool to a specific action verb: 'evaluate_churn_risk_and_trigger_reengagement' or split into separate tools (evaluate_churn_risk, trigger_reengagement_campaign) to match the domain logic in client.py.
• Expand description to 100-200 chars explaining: (1) What it does: 'Evaluates customer churn risk using LTV and purchase history, then triggers targeted reengagement campaigns.' (2) When to use: 'Call when you need to identify at-risk high-value customers and send personalized incentives.' (3) What it returns: 'Churn probability score, risk tier, recommended action, and campaign workflow URL.'
• Document output schema explicitly in the tool definition. Include field names, types, and descriptions: { reengagement_job_id (string), customer_id (string), churn_probability_score (number 0-1), churn_risk_tier (enum: AT_RISK_HIGH_VALUE, AT_RISK_MEDIUM_VALUE, LOW_RISK), predicted_lifetime_value_usd (number), triggered_action (string), incentive_discount_pct (number), campaign_workflow_url (string) }.
• Replace 'query_payload' with explicit parameters matching the client.py signature: customer_id (string, required), days_since_last_order (integer, 1-365), historical_purchase_count (integer, 0-1000), average_order_value_usd (number, 0-100000). Add descriptions and constraints for each.
• Add error handling: validate input ranges, return actionable errors like 'Invalid customer_id: must be non-empty string' or 'days_since_last_order must be 1-365, got 999'. Include recovery hints: 'If customer not found, verify customer_id format or call search_customers() first.'