MarkdownPointer MCP has 8 tools with complete descriptions and clear naming. All tools start with action verbs (show_, get_, slide_, export_, tag_, import_). Descriptions are detailed (100-250 chars) and explain WHEN to use each tool. However, input schemas are not visible in the provided source code, only parameter names and descriptions appear in the method signatures. Without explicit JSON Schema definitions, schema quality cannot be verified. Error handling is present (ErrorResponse types) but lacks recovery guidance. Tool composition is sound: each tool has one responsibility. Parameter descriptions are present but some lack type constraints (e.g., 'action' in slide_control accepts free-form strings instead of an enum). Output schemas are partially documented in code comments but not formally declared.

• Define explicit JSON Schema for all tool inputs. Use enum for slide_control 'action' parameter: {"type": "string", "enum": ["next", "prev", "first", "last", "goto"]}. Add minLength/maxLength and pattern constraints for string parameters (e.g., path validation).
• Document output schemas in tool definitions. For each tool, declare the response structure: e.g., show_markdown returns {"success": boolean, "tabs": array, "errors": array}. This enables LLM to extract and chain results.
• Enhance error messages with recovery guidance. Instead of 'File not found: /path/to/file', return 'File not found. Verify the path exists, or use import_document() to convert PPTX/DOCX first.' Categorize errors as retryable vs user-fixable.
• Add optional dry-run parameter to export_document, tag_asset, and import_document. E.g., export_document(..., dry_run=true) returns what would be written without modifying files. Enables safe agent planning.
• Provide batch variants for tag_asset. Accept an array of {file, tags, description} objects to tag multiple assets in one call, reducing token overhead and latency for bulk operations.