Four tools with complete Zod schemas and clear descriptions. All tools have proper input validation (minLength, length constraints, min/max bounds). Descriptions are concise (50-150 chars) and action-oriented. However, output schemas are not documented, LLMs cannot predict response structure. Error handling is present but generic (no recovery guidance). Tool names follow verb_noun pattern correctly. Parameters are well-typed with descriptions. Missing: output schema documentation, error categorization, and composition guidance for chaining tools.

• Document output schemas for each tool. Example for google_search: 'Returns object with fields: answer_box (optional), knowledge_graph (optional), organic_results (array of {title, link, snippet}), total_results (number)'. This lets LLMs plan downstream operations.
• Enhance error messages with recovery guidance. Replace 'SearchApi rate limit reached (429)' with 'SearchApi rate limit reached (429). Wait 60 seconds before retrying, or upgrade your plan at https://www.searchapi.io/pricing.'
• Add offset/cursor pagination to google_search. Accept optional 'start' parameter (0-based index) and return 'next_start' in response so agents can fetch subsequent pages without re-querying.
• Clarify include_links intent in google_shopping. Describe when tracking URLs are useful: 'Set to true if you need to track clicks; false for cleaner URLs to share with users.'
• Add composition hints to descriptions. E.g., google_jobs: 'After finding a job, use google_search to research the company or google_shopping to find products from that company's industry.'