The server defines 14 tools with consistent naming patterns (verb_noun structure), explicit Zod schemas, and descriptions for all tools. However, descriptions are often terse (10-50 chars), many parameters lack granular descriptions, output schemas are undocumented, and error handling is minimal. Tool compositions show good intent (e.g., get_pr_diff_hunks, validate_pr_comment_target, ensure_pending_review), but the implementation lacks recovery guidance and actionable error messages. The server scores well on naming and parameter enumeration but poorly on description depth and output documentation.

• Expand all tool descriptions to 50 - 150 characters. Include WHAT the tool does, WHEN to use it instead of similar tools, and WHAT it returns. Example: 'Get all reviews for a PR (APPROVE/REQUEST_CHANGES/COMMENT events). Use this to see reviewer feedback before submitting your own review. Returns reviewer name, status, and comments.',
• Document all output schemas explicitly. For each tool, describe the response structure, required fields, optional fields, and their types. Example: 'Returns {reviews: [{reviewer: {login, avatar_url}, state: APPROVED|COMMENTED|PENDING|CHANGES_REQUESTED, body: string, comments: [{path, position, body}]}], total_count: int}'.
• Add comprehensive error handling with recovery guidance. Map likely errors (rate_limit, permission_denied, not_found, validation_error) and provide actionable next steps. Example: 'If rate limit hit, wait 60s and retry. If permission denied, check that token has repo:write scope.'
• Describe all parameter purposes and constraints. For 'add_pr_comment', clarify: 'Use path+line for new comments on diffs; use commit_id for legacy comment targets; use in_reply_to to reply to existing comments. Call validate_pr_comment_target first if unsure.'
• Implement result limiting with pagination. Cap 'get_pr_reviews', 'get_pr_comments', and 'get_pr_files' at 20 - 50 items by default. Add limit and offset/cursor parameters. Return total_count so LLM can decide whether to paginate.
• Strip API response metadata. Return only fields agents need: reviewer login, review state, comment body, omit timestamps, URLs, audit fields, raw user objects. Reduce token count by 40 - 60%.