Server has 5 tools with basic schemas and Spanish-language descriptions, but significant quality gaps. All tools have input schemas with types and descriptions, meeting minimum requirements. However, descriptions are generic and lack LLM-optimized guidance on WHEN to use each tool vs. alternatives. No output schemas documented. Error handling is absent, no recovery guidance, no categorization of retryable vs. fatal errors. Tool naming is acceptable (verb_noun pattern) but descriptions don't explain dependencies or prerequisites. Security concerns: send_email and send_whatsapp are WRITE operations with no confirmation/dry-run pattern. No evidence of input validation, rate limiting, or permission gates. Composition is weak, tools operate independently with no chaining IDs returned (e.g., web_search doesn't return structured results for downstream use).

• Document output schemas for all tools. Example: web_search should return {results: [{title, url, snippet, source}], total_count, next_cursor}. This enables LLMs to extract and chain data.
• Add confirmation/dry-run pattern to send_email and send_whatsapp. Implement a 'confirm_send' parameter or separate 'preview_email' tool to let agents verify before executing irreversible operations.
• Implement structured error responses with recovery guidance. Example: 'API rate limit exceeded. Retry after 60 seconds.' or 'Invalid phone format. Expected +<country><number>, got: <value>.'
• Expand descriptions to 150-250 characters with explicit WHEN guidance. Example: 'Use web_search for current news, prices, or recent events. Use read_emails for existing messages in your inbox. Prefer web_search over read_emails for information not in your email.'
• Add input validation in tool implementations. Validate enum values (search_type), numeric ranges (max_results 1-50), phone format (E.164), email format. Return actionable errors on validation failure.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry