Server has 5 tools with basic schemas and descriptions, but significant gaps limit production readiness. Tool names follow verb_noun convention (get_, update_, search_, fetch). Descriptions exist but are generic (avg ~120 chars, below 194-char baseline). Input schemas are present with type definitions, but parameter descriptions are minimal or missing context. No output schemas documented. Error handling is absent, no recovery guidance, retryability classification, or actionable error messages. Missing idempotency hints for write operations. No tool annotations (readOnlyHint/destructiveHint). Composition is reasonable (single responsibility per tool), but chaining support is weak, responses don't consistently include IDs needed for downstream calls.

• Document output schemas for all tools. Example: get_sheet_data should return {data: [[string]], range: string, sheet: string, spreadsheet_id: string}. This enables LLMs to chain calls correctly.
• Add error handling guidance to tool descriptions. Example: 'If the sheet is not found, returns error 404 with message "Sheet 'X' not found in spreadsheet Y". Try fetch() to list available sheets.'
• Add tool annotations via MCP schema: mark update_cells with destructiveHint=true, mark get_sheet_data/get_sheet_formulas/search/fetch with readOnlyHint=true. This signals operation safety to agents.
• Expand parameter descriptions with constraints and defaults. Example: 'range: Optional cell range in A1 notation (e.g., A1:C10). If omitted, returns all data in the sheet. Max 10,000 cells per call.'
• Add pagination to search and fetch: include limit (default 20, max 100), offset, and total_count in responses. Cap results at 50 items per call to prevent context window exhaustion.

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

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