20 tools with basic schemas and descriptions, but significant quality gaps. Tool names follow verb_noun convention (list, get, create, update, delete, send, check) which is good. However, descriptions are generic and often under 50 chars (e.g., 'List all resources with metadata', 'Check service health status'). Parameter descriptions exist but are minimal (10-20 chars typical). No output schemas documented anywhere. Error handling guidance absent. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear risk levels. Parameter constraints missing (e.g., 'limit' and 'offset' have no min/max bounds; 'priority' in gotify:messages:send has no enum). No evidence of idempotency guarantees or confirmation patterns for destructive ops. Schemas are present but sparse, many params lack type constraints beyond basic types.

• Add output schemas to every tool. Document return type, field names, and structure. Example: 'Returns {id: number, name: string, status: string, created_at: ISO8601}'. This enables LLM planning and field extraction.
• Add min/max constraints to numeric parameters. Example: 'limit (1-100, default 20)', 'timeout (1-300 seconds)', 'priority (0-10)'. Use JSON Schema minimum/maximum and restate in description.
• Expand tool descriptions to 80-150 chars. Include WHAT it does, WHEN to use it, and any prerequisites. Example: 'List all resources with optional filtering and pagination. Call this first to discover available resources before creating or updating. Returns paginated results with total count.'
• Add tool annotations via MCP schema. Mark read-only tools with readOnlyHint=true, destructive tools with destructiveHint=true, and idempotent tools with idempotentHint=true. This enables LLM safety reasoning.
• Implement confirmation pattern for destructive operations. Add a 'confirm' boolean parameter (default false) to delete/cleanup tools. When false, return a preview of what would be deleted. When true, execute. This prevents accidental data loss.