Server has 6 well-named tools with consistent verb_noun patterns (list_, get_, track_). All tools have descriptions (194-character baseline met). All input parameters have type definitions and descriptions. However, output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal (generic error wrapping only). Parameter descriptions lack explicit constraints (e.g., 'day', '7d', '30d', '90d' are described as enum but lack rationale). No mention of API limits, rate limits, or pagination guidance. Security: API key is correctly injected via environment variable (no credential leakage in params). The 'track_event' tool lacks 'url' in required params even though it's essential context, should be required or have a sensible default.

• Document the complete output schema for each tool, including field names, types, and sample values. E.g., 'Returns: { sites: [ { id: number, domain: string, site_key: string }, ... ] }'
• Add pagination support or explicit result-cap documentation. E.g., 'Returns up to 100 sites. For more, use offset/limit params (if API supports) or state clearly: Results are limited to 100 most recent sites.'
• Enhance error handling with categorization. Replace generic error wrapping with: if (response.status === 401) throw new Error('Unauthorized. Verify MEASURE_API_KEY is valid and has access to this site.'); if (response.status === 429) throw new Error('Rate limited. Retry in 60 seconds.');
• Make 'url' required in track_event or document a sensible fallback. If optional, explain: 'If omitted, defaults to empty string. Most useful when paired with metadata identifying the page context.'
• Add a tool description note: 'Tip: Call list_sites first to discover site_ids and tracking keys, then use them with other tools.' This guides the agent's discovery workflow.
• Document metadata schema for track_event. E.g., 'metadata (object, optional): Arbitrary key-value pairs. Common keys: user_id, session_id, source. Values must be JSON-serializable primitives or objects.'
• Add a 'get_site_summary' example to show LLMs when this aggregation tool is useful vs fetching raw metrics separately.