MongoDB MCP server has 14 tools with basic schemas and descriptions, but significant gaps limit production readiness. All tools have descriptions (10-50 chars, mostly adequate) and input schemas with type definitions. However, output schemas are completely undocumented, LLMs cannot predict what fields to expect from responses, breaking tool chaining. Parameter descriptions are minimal (e.g., 'Database name' with no format guidance). Write operations (insert_document, update_document, delete_document, create_index) lack confirmation/dry-run patterns despite being destructive. Error handling is absent from visible code, no recovery guidance, no categorization of retryable vs fatal errors. Tool naming is clear and verb-prefixed, but composition could be tighter (e.g., find_documents and find_one_document are near-duplicates). No tool annotations (readOnlyHint, destructiveHint) despite clear risk stratification in metadata.

• Document output schemas for all tools. Example: find_documents should return {documents: [{_id, ...fields}], total: number, returned: number}. This enables agents to extract and chain results.
• Add tool annotations: mark read-only tools with readOnlyHint=true, destructive tools with destructiveHint=true, and idempotent tools with idempotentHint=true. Agents will use these to plan safely.
• Implement confirmation pattern for delete_document, insert_document, update_document: add a 'dry_run' parameter that returns what would happen without executing, or require explicit 'confirm=true' parameter.
• Enhance parameter descriptions with constraints. E.g., 'Database name (1-64 chars, alphanumeric + underscore, case-sensitive)' instead of just 'Database name'.
• Add error handling that returns actionable recovery guidance. E.g., 'Database not found. Available databases: [list]. Did you mean one of these?' instead of a bare 404.

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

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