Solid foundation with clear naming, good descriptions, and complete input schemas. All 5 tools follow verb_noun convention (search_jobs, list_categories, get_job, etc.). Descriptions are substantive (100-200 chars), explaining WHAT and WHEN. Input schemas use Zod with proper types, min/max constraints, and defaults. However, output schemas are undocumented, responses are JSON strings without declared structure. Error handling is minimal (only get_job hints at token requirement). No tool annotations (readOnlyHint, idempotentHint). Parameter descriptions could be more prescriptive about format/constraints.

• Document output schemas explicitly. Define the structure of compactJob (id, title, category, remote, countries, min_salary, max_salary, published_at, applications_count, url, description, functions, desirable, benefits) and list responses (meta, jobs/categories array). Use JSON Schema or TypeScript interfaces in comments.
• Add readOnlyHint annotations to all 5 tools. Register each with inputSchema and readOnlyHint: true to signal safety to agents.
• Enhance error messages with recovery guidance. When API calls fail (e.g. 404 for invalid category), return 'Category not found. Call list_categories to see valid options.' instead of raw API errors.
• Prescribe parameter formats in descriptions. E.g. 'Company slug: lowercase alphanumeric + hyphens, e.g. "2brains", "my-company"' and 'Category id: lowercase with hyphens, e.g. "programming", "machine-learning-ai"'.
• Add per_page description to list_categories: 'Results per page (default 50, max 100). There are ~6 pages of categories at default size.'