ViBo MCP has 5 tools with basic schemas and descriptions, but significant gaps limit production readiness. Tool names lack clear action verbs (memory_search, memory_add, thread_memory are acceptable but not ideal). Descriptions are present but brief (avg ~80 chars, below the 194-char baseline). Parameter descriptions exist but lack detail on constraints, formats, and dependencies. Output schemas are not documented, responses are free-text or loosely structured. Error handling is minimal; most errors return generic text without recovery guidance. No input validation rules stated. The web_search tool is disabled, reducing utility. Overall, this is a functional but underdeveloped toolkit.

• Document output schemas for all tools. Define return types as structured objects with typed fields (e.g., memory_search returns {facts: [{level, label, content}], saved_tokens: number, saved_pct: number}).
• Enhance parameter descriptions with format rules and examples. E.g., 'query: Search terms (2-500 chars, alphanumeric + spaces). Example: "Python async patterns"'.
• Implement error classification. Return structured errors: {error: 'not_found', message: '...', retryable: false, suggestion: '...'}. Guide LLMs on next steps.
• Remove or complete web_search. Either implement it fully or delete the tool to avoid wasting agent reasoning on a disabled feature.
• Split thread_memory into separate tools: thread_add_message, thread_compress, thread_ask, thread_get_context. Each tool does one thing; LLMs compose them naturally.