Callsheet has 12 tools with basic schemas and descriptions, but significant gaps prevent production readiness. Most tools lack parameter descriptions (e.g., alerting_manage_rules has 11 params with minimal guidance on dependencies and constraints). Descriptions are present but generic, many under 100 chars, lacking WHEN/WHY context. No output schemas documented. Error handling is absent, no recovery guidance, no categorization of retryable vs fatal errors. Tool composition issues: alerting_manage_rules and grafana_api_request overlap significantly (both can modify alerts). Parameter naming inconsistencies: some use 'uid', others 'id'. No enum constraints on operation types or severity levels. Security: no evidence of secret injection or permission gating despite write operations on alerts and incidents.

• Add enum constraints to operation types: alerting_manage_rules.operation must be one of [list, get, create, delete, update]. Document which params are required for each operation.
• Document output schemas for all tools. E.g., search_dashboards returns {dashboards: [{uid, title, id, tags}], total_count, next_cursor}. Include chaining IDs (uid, id) needed by downstream tools.
• Split grafana_api_request into domain-specific tools (create_alert_rule, update_alert_rule, delete_alert_rule) with proper validation and error handling. Remove the generic pass-through.
• Add recovery guidance to error responses. E.g., query_datasource: 'If datasource not found, call list_datasources() to see available UIDs.' Categorize errors as retryable (timeout, rate limit) vs user-fixable (invalid query syntax).
• Implement confirmation pattern for destructive operations: create_incident and delete alert rules should support a dry_run=true parameter or return a confirmation token requiring explicit approval before execution.