LinkDing MCP server has well-structured tool definitions with complete input schemas and consistent naming conventions. All 9 tools follow a verb_noun pattern (search_, add_, get_, update_, delete_, archive_, unarchive_, check_). Descriptions are present for all tools and most parameters. However, several gaps reduce overall quality: (1) Output schemas are not documented, tools return 'JSON string' without specifying field structure, breaking the LLM's ability to plan downstream calls. (2) Many descriptions lack actionable detail about when to use a tool vs. similar alternatives (e.g., get_bookmark vs. search_bookmarks distinction). (3) Parameter descriptions exist but are often generic (e.g., 'The ID of the bookmark to delete' rather than 'Bookmark ID (integer, 1-999999)'). (4) No error handling guidance, responses mention 'Success or error message' without explaining recovery paths. (5) No destructive operation guidance in descriptions despite delete_bookmark being DESTRUCTIVE risk class. These are foundational issues preventing A-grade scores.

• Document output schemas for all tools. Add to each tool description: 'Returns: {bookmark: {id: int, url: string, title: string, description: string, notes: string, tags: [string], is_archived: bool, unread: bool, date_added: string}, ...}' (actual fields from LinkDing API).
• Rewrite delete_bookmark description to: 'Permanently delete a bookmark by ID. WARNING: This action is irreversible. Consider using archive_bookmark instead to preserve the bookmark. No confirmation dialog is available, verify the ID before calling.'
• Add format/range constraints to all parameter descriptions. E.g., bookmark_id → 'Bookmark ID (positive integer, max 999999)'; url → 'Valid HTTP/HTTPS URL (max 2048 chars)'; limit → 'Results per page (1-1000, default 100).'
• Add tool selection hints. E.g., search_bookmarks description: 'Use to find bookmarks by content (title, notes, description) or tag. If you already have a bookmark ID, use get_bookmark instead for faster lookup.'
• Document parameter dependencies. E.g., update_bookmark: 'Note: Omitted parameters are NOT cleared, only provided fields are updated. If tags is omitted, existing tags are preserved. To clear all tags, pass tags: [].'
• Add error handling guidance to CRUD tools. E.g., add_bookmark: 'On failure, error response will indicate reason (invalid URL, network timeout, auth failure). If 'invalid URL' is returned, try check_url to validate the URL first.'
• Document auto-scraping behavior in add_bookmark: 'If title or description are not provided, LinkDing will attempt to scrape them from the URL. Scraping has a 10-second timeout. If scraping fails, the bookmark is created with empty fields. Auto-scraped metadata may be inaccurate, provide title/description manually for important bookmarks.'

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

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