Single tool 'search-videos' with Spanish-language description, minimal parameter documentation, and no structured output schema. The tool accepts a simple string query but lacks type definitions, enum constraints, and output format documentation. Error handling is present but returns raw errors without recovery guidance. The server demonstrates understanding of elicitation (MCP feature), but tool definition quality falls well below production standards.

• Add English description to tool: 'Search for videos on a specific topic. Requests user preferences (language, result count, original vs. translated content) via elicitation before returning results.'
• Expand input schema: add description to 'query' parameter ('Search term; e.g. "machine learning". 1-100 characters.'), add minLength/maxLength constraints, optionally add enum for preset topics if applicable.
• Document output schema as a JSON Schema or TypeScript type: [{type: 'text', text: string}]. Clarify that each video is returned as a formatted text block, not structured fields.
• Replace generic error handling with structured error responses. E.g. on elicitation failure: {error: 'elicitation_timeout', message: 'User did not respond to preferences prompt within 30s. Proceeding with defaults (English, 5 videos, original).', recoverable: true}
• Provide fallback guidance in error messages: 'Elicitation failed. Attempting search with default preferences: English, 5 videos. Call search-videos again to customize.'
• Implement actual video search backend or mock realistic example URLs (e.g. youtube.com/results?q=...) so tool demonstrates real functionality.
• Document when elicitation is triggered vs skipped (e.g. 'Elicitation sent on first call; skipped on retry if user already answered').