Single tool 'execute_skill_action' has a basic description (47 chars) and input schema with three parameters. However, the schema lacks critical details: no parameter descriptions, no output schema documentation, no error handling guidance, and no indication of what the tool actually returns. The description is too generic ('Execute revenue-based working capital underwriting skill action') and does not explain WHEN to use it, WHAT it returns, or HOW to interpret results. The implementation in mcp_server.py is a stub that only prints a JSON status message, it does not actually invoke the client logic. This is a non-functional MCP server.

• Expand tool description to 100-200 characters explaining: 'Evaluates e-commerce merchant eligibility for revenue-based working capital. Returns approved advance amount, fee structure, and risk grade based on monthly revenue and marketing efficiency. Use this to underwrite working capital requests for online retailers.'
• Add descriptions to all three input parameters: merchant_store ('E-commerce domain name, e.g., example.com'), monthly_revenue_usd ('Monthly gross revenue in USD; must be > 0'), marketing_roas ('Marketing return on ad spend ratio; must be > 0')
• Document the output schema with all returned fields: capital_offer_id (string), approved_advance_amount_usd (number), flat_capital_fee_pct (number), daily_remittance_revenue_share_pct (number), non_dilutive_founder_equity_preserved (boolean), direct_ad_platform_invoice_payment_ready (boolean), underwriting_risk_grade (enum: TIER_A_PRIME_ECOM, TIER_B_STANDARD_ECOM, etc.)
• Implement actual MCP protocol handling in mcp_server.py: parse incoming tool call requests, invoke the client logic, and return structured responses with proper error handling for invalid inputs
• Add error handling that returns actionable messages: 'Invalid monthly_revenue_usd: must be > 0' or 'Invalid marketing_roas: must be > 0. If you do not have ROAS data, use a default of 2.0'