The Twitter MCP server has 2 tools with explicit JSON Schema definitions and descriptions. Tool names follow verb_noun convention (post_tweet, search_tweets), which is good. However, several critical definition gaps prevent a higher score: parameter descriptions are sparse (most params lack context-setting detail), no output schema is documented for either tool, and error handling lacks recovery guidance. The search_tweets tool accepts a numeric 'count' with constraints (min 10, max 100), which is sound, but post_tweet lacks validation guidance. Neither tool documents what fields the response will contain, forcing LLMs to guess about available fields for downstream chaining. Input validation occurs via Zod schemas (visible in types.ts reference) but the actual schema definitions are not visible in the provided source, so schema completeness cannot be fully verified.

• Document output schema for post_tweet: specify the response contains {id: string (tweet URL or ID), text: string, created_at: ISO8601 string, url: string} so LLMs know what fields are available.
• Document output schema for search_tweets: specify response structure {tweets: [{id, text, author, created_at, url, engagement_metrics}], users: [{id, username, display_name, profile_url}], total_count: number} to enable chaining.
• Expand 'reply_to_tweet_id' parameter description: 'Optional tweet ID to reply to. If provided, the new tweet will be posted as a reply. If the ID is invalid or tweet is deleted, the tool will return an error with the invalid ID and suggest searching for the original tweet.'
• Expand 'query' parameter description: 'Search query supporting keywords, hashtags (#topic), mentions (@user), quoted phrases ("exact match"), and operators (lang:en, from:user). Example: #MCP from:OpenAI to filter.'
• Add error classification to tool descriptions: 'Rate limit (retryable after ~15 min), invalid tweet ID (user-fixable: retry with correct ID), network timeout (retryable), authentication failure (fatal: check credentials).'
• Reduce Dockerfile security exposure: remove hardcoded placeholders for credentials. Use a docker-compose.yml or .env.example file with blank values instead, or document that credentials must be injected at runtime via -e flags.
• Add tool annotations (destructiveHint) to post_tweet to signal that it modifies state: include 'inputSchema: {..., destructiveHint: true}' in the tool definition to mark it as non-idempotent.