Server has 5 tools with basic schemas and descriptions, but significant gaps limit production readiness. Tool names follow verb_noun convention (read_document, edit_document, list_roots, read_dir), which is good. However, descriptions are minimal (10-50 chars), parameter descriptions lack detail, and output schemas are not documented. The edit_document tool lacks critical safety guidance (no confirmation pattern, no dry-run option). The summarize tool is unusual, it delegates to the client's LLM rather than performing a server-side operation, creating ambiguity about responsibility. No tool annotations (readOnlyHint, destructiveHint) despite clear risk levels. Error handling is absent from visible code.

• Add output schema documentation for each tool. Example: read_document should return {content: string, encoding?: string, size?: number}. Document in tool description or via structured response examples.
• Expand tool descriptions to 80-150 characters. Include WHAT the tool does, WHEN to use it, and any prerequisites. E.g., 'Read a document's full text content by its ID. Use after listing documents to retrieve content for analysis or editing.'
• Add parameter descriptions for edit_document's old_str and new_str: specify case sensitivity, whitespace handling, max length, and what happens if old_str is not found (error vs. no-op).
• Implement confirmation pattern for edit_document: add a dry_run parameter (boolean, default false) so agents can preview changes before committing. Or require explicit confirmation via a separate confirm_edit tool.
• Add tool annotations (readOnlyHint, destructiveHint, idempotentHint) to tool definitions. Mark edit_document as destructive; mark read_document, list_roots, read_dir as readOnly.

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

• Relies on Sampling (deprecated) - integrate directly with the LLM provider API