Four well-named, read-only tools with clear descriptions and proper tool annotations. All tools have input schemas with type definitions and parameter descriptions. Naming follows verb_noun convention (fetch_, list_, get_). Descriptions are substantive (100-200 chars) and explain WHEN to call each tool. Tool annotations correctly declare readOnlyHint=true. However, output schemas are not formally documented, responses are formatted as Markdown strings rather than structured JSON objects. Error handling is minimal (returns plain text messages rather than actionable recovery guidance). Parameters lack constraints (enums, ranges, patterns) that would prevent invalid LLM inputs.

• Convert all tool responses from Markdown strings to structured JSON objects. E.g., fetch_devops_content should return {items: [{id, title, type, category, tags, version, content}]} instead of formatted Markdown. This enables LLMs to extract fields reliably.
• Add enum constraints to 'content_type' parameter: one of 'skill|instruction|prompt|policy|rule'. Add enum or pattern to 'category' parameter based on actual categories in the knowledge base.
• Implement pagination for list_devops_categories and list_devops_content. Add 'limit' (default 20, max 100) and 'offset' parameters. Return {items: [...], total: N, has_more: bool} to guide multi-page discovery.
• Enhance error responses with actionable recovery guidance. E.g., 'Content not found: content_id=xyz. Try list_devops_content() to discover available IDs, or fetch_devops_content(query=...) to search by topic.'
• Add length constraints to 'tags' parameter: max 10 items, each 1-50 chars. Document in parameter description: 'Optional list of tags to filter by (max 10 tags, each 1-50 characters).'

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

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