Glue MCP demonstrates solid foundational quality with clear verb-based tool naming, explicit AWS integration, and read-only safety profile. All three tools have non-empty descriptions and explicitly declared input schemas with type information. However, parameter descriptions are minimal (single phrases rather than explanatory sentences), output schemas lack formal documentation, and error handling provides limited recovery guidance. The tools follow a logical composition pattern (list → get details → get metadata), but the schema quality and description depth fall short of production-grade baselines.

• Expand parameter descriptions to 10-50 words each. E.g. 'database_name (string, required): The name of the AWS Glue database to query. Case-sensitive. Example: my_data_catalog. Obtain from list_databases() if needed.'
• Document output schemas formally in tool metadata. For list_databases, add: 'Returns {databases: [string]}, array of database names. Use get_database_metadata(database_name) to explore tables.'
• Enhance error messages with recovery paths. E.g. 'Failed to list databases: [AWS error]. Verify (1) AWS credentials are configured, (2) you have Glue:GetDatabases permission, (3) region is set. If error persists, check AWS service health.'
• Add pagination guidance if database/table counts can exceed typical context limits. If Glue catalogs can have 1000+ databases, offer limit/offset parameters and document max result count.
• Add tool annotation hints (readOnlyHint=true) to signal to clients these are safe to retry and do not modify state. This improves agent confidence and error recovery.
• Document whether parameters are case-sensitive, what characters are allowed, and provide a regex pattern in descriptions (e.g. 'database_name must match [a-z0-9_-]{1,255}').

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

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