Server has 5 tools with complete input schemas and descriptions, but quality is inconsistent. Tool names follow verb_noun convention (deploy_model, list_deployments, check_endpoint, monitor_capabilities, delete_deployment). Descriptions are present but generic (avg ~80 chars, below 194-char baseline). Parameters have types and descriptions, but lack constraints (enums, ranges, patterns). Output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal; no recovery guidance. Destructive operations (delete_deployment) lack confirmation patterns. No tool annotations (readOnlyHint, destructiveHint). Overall: functional but below production baseline.

• Document output schemas for all tools. Specify return type (object/array), field names, types, and descriptions. E.g., deploy_model returns {id: string, name: string, status: enum, endpoint: string, ...}.
• Add tool annotations to server.py tool registration: mark list_deployments, check_endpoint, monitor_capabilities with readOnlyHint=true; mark deploy_model, delete_deployment with destructiveHint=true.
• Implement confirmation pattern for delete_deployment: add a 'confirm' boolean parameter (default false) or return a 'confirmation_required' response requiring a second call with a confirmation_token.
• Add min/max constraints to numeric parameters: instance_count (1 - 100), and document format/range in parameter descriptions (e.g., 'instance_count: integer, 1 - 100 instances').
• Enhance error messages with recovery guidance. E.g., catch ValueError in check_endpoint and return: 'Endpoint not found. Call list_deployments(subscription_id, resource_group) to see available endpoints.'

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

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