This server has severe definition quality issues. Tool 1 (execute_skill_action) has no visible input schema in the source code, only a description. Tool 2 (authorize_agent_spend) has a partial schema visible in the prompt but the actual tool registration in mcp_server.py is missing; the schema is inferred from client.py, not from explicit MCP tool registration. Neither tool has descriptions longer than 20 characters that meet the rubric threshold. The mcp_server.py file shows only a JSON status message with no actual tool registration, tool definitions, or MCP protocol implementation. This is not a functional MCP server, it is a stub that prints a status message and exits.

• Implement a proper MCP server in mcp_server.py with a stdio message loop that handles tool_call requests and returns tool_result responses per the MCP spec.
• Add explicit input schemas to both tools with type definitions and descriptions for every parameter. execute_skill_action must declare what parameters it accepts.
• Expand tool descriptions to 50-200 characters, answering: What does it do? When should the LLM call it? What does it return? Example: 'Authorize a spending request against an agent's prepaid credit wallet. Returns approval status, remaining balance, and daily cap utilization. Call this before executing any agent action that incurs cost.'
• Document output schemas for both tools. authorize_agent_spend should declare it returns {spend_auth_id, remaining_prepaid_balance_usd, debit_approved, daily_spending_cap_utilized_pct, auto_reload_threshold_triggered, spend_telemetry_receipt_url}.
• Add error handling: validate agent_account_id format, check requested_debit_usd > 0, return actionable errors like 'Insufficient balance: requested $12.50 but only $8.30 available. Call request_wallet_reload() to add funds.'