The server defines 8 tools with visible schemas and basic descriptions, but exhibits significant quality gaps across naming, parameter documentation, error handling, and output schema clarity. Tool names follow verb_noun patterns appropriately (list-acl, insert-acl, get-acl, update-acl, patch-acl, delete-acl, watch-acl, list-calendar-list), but descriptions are extremely sparse and many parameter types are loose. Schemas use Zod validation but lack critical documentation around output structure, error cases, and parameter constraints. Parameters like 'sendNotifications', 'requestData', and 'maxResults' accept string types when they should be boolean or specific objects, creating ambiguity for LLMs. No parameter descriptions visible in schema definitions. Error handling is minimal, responses are generic JSON stringification or basic error text without actionable recovery guidance. Output schemas are completely undocumented, LLMs have no visibility into the structure of results, complicating downstream tool chaining.

• Convert string parameters to proper types: 'sendNotifications' → boolean, 'maxResults' → integer with min/max constraints, 'showDeleted'/'showHidden' → boolean. Add enum constraints for fields with known valid values (e.g., minAccessRole: 'owner' | 'writer' | 'reader' | 'freeBusyReader').
• Add comprehensive parameter descriptions to every input. Example: 'maxResults: Maximum number of items to return per page (1-250, default 250). Note: Fewer results per page may be returned if the full list would exceed 1000 items.' Use description strings in Zod schema definitions.
• Document output schemas for each tool. Create explicit response types showing: which fields are returned, their types, whether they're present in all responses or conditional, how pagination works, and how to chain results to other tools. Example: 'list-acl returns {items: ACLRule[], nextPageToken?: string, etag?: string}' with ACLRule structure documented.
• Expand tool descriptions from 20-30 chars to 80-150 chars, following LLM-optimized format: WHAT (verb + object), WHEN (specific use case), RETURN (what the caller gets). Example: 'List all access control rules for a calendar. Use this to see who has access before granting new permissions. Returns rules ordered by creation time, with pagination support for large access lists.'
• Replace generic error handling with actionable, categorized responses. Validate all inputs before API calls. On API errors, parse and classify: (1) Auth failures → 'Re-authenticate and retry'; (2) Not found → 'Try list-acl to find valid calendarId'; (3) Invalid ACL rule → 'Verify requestData structure matches Google Calendar API schema'; (4) Rate limit → 'Wait 60 seconds before retrying'.