Three tools with clear verb-noun naming (list_, search_, read_) and reasonable descriptions (100-200 chars). All tools have input schemas with type definitions. However, parameter descriptions are minimal or missing context about expected formats and constraints. Output schemas are undocumented, LLMs cannot predict what fields to expect. Error handling is present but generic (returns strings, not structured errors). No pagination support despite tools that could return large lists. No tool annotations (readOnlyHint, etc.) despite all being read-only operations.

• Document output schemas explicitly. E.g., list_skill_domains returns {domains: string[], message?: string}. search_skills returns {entries: string[], domain: string}. read_skill returns {content: string, path: string, error?: string}. This enables LLMs to plan downstream calls.
• Add format constraints to parameter descriptions. E.g., 'domain: A domain name from list_skill_domains (e.g., 05-mcp-protocol-and-tools). Max depth: 2 levels.' and 'path: Skill path without SKILL.md suffix (e.g., 05-mcp-protocol-and-tools/mcp-server-stdio-tool-schema). Max 3 path segments.'
• Add readOnlyHint: true to all three tools via @mcp.tool(annotations={...}) to signal safety and retry-ability to agents.
• Enhance error responses with structured format: {success: bool, data?: string, error?: {code: string, message: string, recovery: string}}. E.g., {success: false, error: {code: 'RATE_LIMITED', message: 'GitHub API rate limit exceeded', recovery: 'Retry in 60 seconds or provide GITHUB_TOKEN'}}.
• Add optional limit parameter to search_skills with default=50 and max=200. Document: 'Returns up to limit entries. Use pagination or call again with domain/<entry> to explore deeper.'