WealVest AI demonstrates solid schema coverage with Zod-based input validation and clear parameter constraints (enums, min/max bounds). All 5 tools have descriptions and structured inputs. However, descriptions are generic and lack LLM-optimized guidance on WHEN to use each tool vs. alternatives. Output schemas are documented in examples but not formally declared. Error handling is absent, no recovery guidance, no actionable error messages. Tool composition is reasonable but lacks idempotency hints and chaining metadata. Security posture is unclear (no audit logging visible, no permission gates). Naming is verb-forward and clear.

• Add formal output schema declarations (e.g., via Zod or JSON Schema) for each tool. Document return types, field names, and whether results are paginated.
• Enhance descriptions with WHEN/WHY guidance: 'Use simulate_investment to project growth over time; use analyze_portfolio to assess current allocation against goals; use assess_risk to evaluate concentration and diversification.'
• Implement error handling: validate inputs early, return structured errors with actionable guidance (e.g., 'Invalid riskTolerance: must be Low|Medium|High'), and document retryability.
• Add tool annotations: mark generate_report with destructiveHint=true (writes files), and all read-only tools with readOnlyHint=true to guide agent planning.
• Replace mock data in get_market_insights with real API integration (e.g., Alpha Vantage, IEX Cloud) or document that this is a stub for demonstration.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry