The server demonstrates solid foundational quality with well-structured tool definitions, consistent naming conventions, and comprehensive parameter documentation. All 16 tools are explicitly registered with schemas and descriptions. Naming follows verb_noun patterns consistently (execute_query, list_databases, describe_table, get_*). Most descriptions fall within the 80-250 character range, which is appropriate. Parameter schemas include type definitions and constraints (enums for timeframe/severity, min/max for numeric fields). However, several tools lack explicit output schema documentation in code comments or tool descriptions, making it unclear what fields agents should expect. Error handling is not prominently documented in tool descriptions, no guidance on retryability, recovery steps, or actionable error messages. The compositions are sound: tools chain naturally (list_databases → list_tables → describe_table → get_table_data). One minor naming issue: 'explain_query' and 'analyze_query_performance' are semantically overlapping and could confuse LLM selection. Output documentation is the primary gap, several tools (especially explain_query, get_optimization_insights) would benefit from explicit response schema examples.

• Add explicit output schema documentation to all tools. For example, explain_query should document: 'Returns: { executionPlan: string, estimatedRows: number, estimatedCost: number, warnings?: string[] }'. Include sample JSON in code comments.
• Disambiguate explain_query vs analyze_query_performance in descriptions. Suggest: explain_query for 'Get execution plan and optimizer estimates', analyze_query_performance for 'Get optimization suggestions and bottleneck analysis'.
• Add error handling guidance to execute_query description: 'May return syntax errors, permission errors (user lacks write permission), or connection errors. Syntax errors are not retryable; others may recover after reconnection.'
• Complete the get_optimization_insights implementation for analysis_period filtering, or document the current behavior explicitly: 'Note: analysis_period parameter accepted but not filtered; returned metrics reflect lifetime of underlying DMV source.'
• Add confirmation-request pattern to execute_query: Offer a 'dry_run' boolean parameter (defaults to false) so agents can preview changes before executing. Alternatively, document high-risk impacts in description.
• Standardize response field naming across all read tools. Document expected return fields in tool-level comments (e.g., @returns { id: string, name: string, ... }).
• Add per-tool idempotency declarations: Document which tools are safe to retry (all read-only tools) vs which have side effects (execute_query). Use description annotations like '[Idempotent]' or '[Non-idempotent]'.

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

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