Server has 6 tools with basic verb-noun naming (get_, list_, scan_, suggest_, etc.), but critical gaps undermine quality. All tools lack documented output schemas, the rubric requires this for LLM planning. Parameter descriptions are present but minimal (10-30 chars). No error handling guidance, no recovery paths, no actionable error messages. Tool descriptions are adequate (50-150 chars) but lack WHEN/WHY context. No tool annotations (readOnlyHint, destructiveHint, idempotentHint). Schemas are incomplete: suggest_fix has 4 params with types but no constraints or enums; get_platform_capabilities lacks platform enum values. No pagination support despite list_skills potentially returning many items. Overall: functional but below production baseline.

• Add output schema documentation to all 6 tools. Specify field names, types, and what each field represents. Example: get_skill returns {skill_name: string, content: string, delta_analysis: object, compatibility_issues: array}.
• Add enum constraint to suggest_fix.issue_type parameter: ["code_deps", "system_tools", "external_services", "runtime_capabilities"]. Document in description.
• Add enum constraint to get_platform_capabilities.platform parameter listing supported platforms (e.g., ["claude_code", "cursor", "codex_cli", "current"]). Document in description.
• Add pagination to list_skills: accept limit (default 20, max 100) and offset parameters. Return {skills: array, total_count: int, has_more: bool}.
• Add error handling guidance to all tool descriptions. Example: 'If skill not found, returns error with available skill names. If platform unsupported, returns list of valid platforms.'