31 tools with consistent naming (verb_noun pattern) and complete input schemas. Descriptions present but generic, most are 40-80 chars, below the 194-char baseline for A+ tools. Parameter descriptions exist but lack actionable constraints (enums, ranges, formats). No output schemas documented. Error handling and recovery guidance absent. Security: credentials properly injected via env vars (good), but no tool-level permission gates or audit trail declarations. Composition is sound, tools are single-purpose and chainable via IDs, but descriptions don't guide LLM selection between similar tools (e.g., ga4_report vs ga4_realtime).

• Expand tool descriptions to 150 - 250 chars. Include WHAT the tool does, WHEN to use it (vs similar tools), and any prerequisites. Example: 'Query Google Search Console search analytics (impressions, clicks, CTR, position). Use this for trend analysis and keyword performance. Requires GSC_SITE_URL configured. For real-time data, use ga4_realtime instead.'
• Document output schemas for all tools. For gsc_query, specify: returns array of {query, page, country, device, searchType, impressions, clicks, ctr, position}. For ga4_report: returns array of {dimensions, metrics, rows}. This enables LLMs to plan downstream calls.
• Add enum constraints to parameter descriptions. Example: 'dimensions (enum: query, page, country, device, searchType; pass as array)' instead of 'Dimensions to group by (query, page, country, device, searchType)'. Use JSON Schema enums in the schema itself.
• Add error recovery guidance to tool descriptions. Example: 'If site URL is invalid, call gsc_sites to list valid properties. If auth fails, check GOOGLE_OAUTH_REFRESH_TOKEN is set.' This guides LLM retry logic.
• Declare permission scopes and audit requirements. Add to descriptions: 'Requires scope: webmasters.readonly. Logs: caller, timestamp, site_url, result.' This enables least-privilege agent configs and compliance audits.