13 tools with consistent naming (verb_noun pattern: list*, get*) and complete input schemas. All tools have descriptions (avg 85 chars, within baseline 34-392). However, descriptions are generic and lack LLM-optimization guidance (e.g., 'Lists group stats' vs 'Retrieve error frequency and impact metrics to identify top issues'). Parameter descriptions are present but minimal (avg 45 chars vs baseline 72). No output schemas documented. All tools are READ_ONLY, reducing error-handling complexity. Missing: pagination guidance in descriptions, dependency hints, and field-chaining documentation.

• Document output schemas for all tools. Example: 'Returns: {groupStats: [{errorCount: number, firstSeenTime: string, lastSeenTime: string, group: {name: string, groupId: string}}], nextPageToken?: string}'. This enables LLMs to chain tools.
• Expand descriptions to 80-150 chars with WHEN/WHY guidance. E.g., 'Retrieve error frequency and impact metrics from Error Reporting to identify top issues affecting users. Use after filtering by time range.'
• Add pagination hints to all list* descriptions: 'Results are paginated (default 50 per page). Use pageToken to fetch subsequent pages. Returns nextPageToken if more results exist.'
• Include field-chaining hints in descriptions. E.g., listAlerts description: 'Returns alert_id which can be passed to getAlertDetails() for full policy configuration.'
• Expand parameter descriptions with format/constraint examples. E.g., 'filter (string): Logging filter syntax (e.g., "severity>=ERROR AND resource.type=gce_instance"). See Cloud Logging filter docs.'