SuperSkill has 23 tools with schemas and descriptions present, but quality is uneven. Most tools have basic descriptions (50-150 chars) and reasonable input schemas with type definitions. However, several critical gaps exist: (1) missing output schema documentation across all tools, (2) sparse parameter descriptions (many params lack detail about constraints, formats, or ranges), (3) several tools lack clarity on when to use them vs. similar tools (task, learn, brainstorm have overlapping responsibilities), (4) no documented error recovery guidance, (5) sensitive operations (write, delete) lack confirmation/dry-run patterns. Naming is generally verb-based (read, write, decide, task) but some names are overloaded (task action='list|create|update|close' should be split). Tool definitions are explicitly visible in src/mcp-server.ts and registered with schemas, so no scoring caps apply for inference. Average per-tool score across 23 tools is ~52, placing this in the 'Fair/Poor' range, significant gaps in descriptions and error handling, but base structure is present.

• Document output schema for every tool. Specify return type (object/array), required fields, and field types. Example: 'Returns {path: string, content: string, created_at: ISO8601, frontmatter: object}'.
• Enrich parameter descriptions with constraints. Example: 'depth (number, 0-10): Max directory nesting to list. 0=metadata only, 1=immediate children, 10=full tree.'
• Split task/learn/session/prune tools by action. Create separate tools: list_tasks, create_task, update_task, close_task. Each tool has one job, names are clearer, and LLM selection is unambiguous.
• Add error guidance to all tools. Example for write: 'On permission denied, check vault ownership. On path invalid, call read() first to explore structure.'
• Add dry_run parameter to destructive tools (write, rollback, prune, skill_remove). Let agents preview changes before committing.
• Document cred_refs implementation: explain how secrets are injected (env vars? vault?), scope isolation, and how LLM accesses them safely without exposure.
• Add retry/backoff guidance to rate-limited tool descriptions: 'If rate limit hit (30 writes/min), backoff 10 seconds and retry. Or batch operations into fewer calls.'
• Clarify task vs learn vs brainstorm in descriptions. Example: 'task: trackers with status/priority. learn: insights with confidence levels. brainstorm: free-form ideation logs.'
• Add limit and offset params to search and stats tools. Example: 'limit (1-100, default 20): Max results per page. Use offset for pagination.'