Four well-structured tools with complete JSON schemas, clear descriptions (150 - 250 chars), and proper parameter typing. All tools declare tool annotations (readOnlyHint, idempotentHint, openWorldHint). Naming follows verb_noun convention (search_jobs, get_job). Schemas use additionalProperties: false to prevent hallucinated parameters. However, output schemas are not documented, LLMs cannot predict response structure. Error handling is absent from tool definitions. Parameter descriptions are good but lack format/constraint examples (e.g., 'city name as employers write it' could specify case sensitivity or accent handling). No batch variants despite agents likely calling search_jobs in loops.

• Document output schemas for all four tools. Example for search_jobs: 'Returns array of {id, title, company, location, employment_type, salary_min, salary_max, posted_date, apply_url}. Total count and next_page included for pagination.'
• Add error handling guidance to tool descriptions. Example: 'If city not found, returns 400 with available cities. If rate limited, returns 429, retry after 60 seconds.'
• Specify format constraints in parameter descriptions. For 'city': 'City name exactly as employers list it (case-sensitive, e.g., Berlin, New York, Bengaluru, not BERLIN or bengaluru).' For 'country': 'ISO 3166-1 alpha-2 code (US, DE, GB) or English name (United States, Germany, United Kingdom).'
• Add a batch_search_jobs tool accepting array of title/keyword sets, returning results grouped by query. Reduces sequential calls from N to 1.
• Document pagination in search_jobs description: 'Response includes total_count and has_more. Use page parameter to fetch subsequent results. Default limit=20, max=100.'