Server has basic tool structure with Zod schemas and descriptions, but falls short of production quality. Tool names follow verb_noun convention (post-tweet, delete-tweet, analyze-tweet), which is good. However, descriptions are minimal (10-50 chars), parameter descriptions lack depth, and error handling is generic. No tool annotations (destructiveHint, readOnlyHint, idempotentHint) despite having destructive operations. Output schemas are not formally documented. The analyze-tweet tool uses mock sentiment analysis rather than a real service, limiting utility. Resources are present but lack pagination and structured output guidance.

• Expand tool descriptions to 100-200 chars. Example: 'post-tweet: Post a tweet to Twitter (max 280 chars). Use this to publish content. Supports dry-run to preview without posting. Returns tweet ID on success. Fails if content exceeds 280 chars or auth fails.'
• Add destructiveHint annotation to delete-tweet and implement a confirmation step (require explicit confirm=true parameter or add a dry-run preview).
• Document output schemas as JSON Schema. Example for post-tweet: {type: 'object', properties: {tweet_id: {type: 'string'}, content: {type: 'string'}, created_at: {type: 'string', format: 'date-time'}}}
• Enhance error messages with recovery guidance. Example: 'Tweet content exceeds 280 chars (got 295). Trim to 280 or split into a thread.' or 'Tweet not found. Verify tweet_id is correct or call recent-tweets resource to list available tweets.'
• Replace mock analyze-tweet with real sentiment API (e.g., AWS Comprehend, Google NLP) or document that it's a placeholder. Return structured output: {sentiment: 'positive'|'neutral'|'negative', confidence: 0-1, engagement_score: 0-100, recommendations: [...]}