Strong tool definitions with well-structured schemas and detailed descriptions. Both tools follow clear naming conventions (verb_noun pattern: search_, get_). Input schemas are comprehensive and properly typed. The main limitation is output schema documentation, while the code shows structured responses, the MCP tool registration lacks explicit output schema declarations, which prevents LLMs from planning downstream operations. Tool descriptions are detailed and contextual (193 and 89 chars respectively), explaining when to use each tool in a two-tool discovery pattern. Parameters are well-described with proper enums and constraints. Error handling returns structured JSON with actionable guidance. No security issues detected (read-only tools, no credentials in parameters). The composition pattern (lightweight search + full detail retrieval) is sound and well-documented.

• Add explicit output schemas to both tool definitions. Declare the structure of search_azure_updates results (array of {id, title, tags, products, status, availabilities, modified, created}) and get_azure_update response ({id, title, description, tags, products, status, availabilities, modified, created, details}).
• Add readOnlyHint: true to both tools' MCP registration to signal to clients that these are safe, non-mutating reads suitable for pre-execution analysis.
• Enhance search_azure_updates description to explicitly warn about pagination: 'Results are paginated. Use limit (1-100, default 20) and offset parameters. Call repeatedly with offset += limit to retrieve all results.'
• Document in get_azure_update that the 'id' parameter must come from search_azure_updates results, establishing the tool chain clearly.
• Consider adding an 'includes_full_description' flag to search results indicating which records have descriptions retrieved via get_azure_update, helping LLMs decide when to call the detail tool.
• Add explicit error type documentation: 'Errors return structured JSON with error field (string) and details field (string or array). Validation errors include field-specific messages for self-correction.'

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

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