Single tool (create_time_series_dashboard) with a well-defined schema and comprehensive docstring, but significant gaps in production readiness. The tool has an explicit input schema with all parameter types defined and descriptions provided. The docstring is unusually detailed (794 chars), exceeding the typical range but providing concrete SQL contract guidance. However, error handling is minimal, output schema is not documented, and the implementation exposes security concerns around credentials. The tool name follows verb_noun convention correctly ('create_time_series_dashboard'). Parameter naming is mostly clear (title, raw_sql, description, panel_title, make_public), though 'raw_sql' could be more descriptive. The optional parameters have defaults, which is good practice. Overall, the tool definition quality is above average for a single-tool server, but falls short of production-grade due to undocumented output, weak error messages, and credential handling issues that impact the overall score.

• Document the output schema explicitly. Add a 'Returns' section in the docstring listing all fields in the response: 'id (str): Dashboard ID, uid (str): Dashboard UID, version (int): Dashboard version, public_url (str, optional): Public URL if make_public=True, otherwise null.'
• Add input validation for the raw_sql parameter. Check for presence of $__timeFilter macro, absence of trailing semicolon, and proper column aliasing (time, metric). Return a user-friendly error like 'SQL must include $__timeFilter macro and alias at least one metric column' if validation fails.
• Wrap error responses with recovery guidance. When GRAFANA_API_TOKEN is missing, return: 'GRAFANA_API_TOKEN is not set. Please add it to your .env file or pass it as an environment variable.' When the API fails, include the HTTP status code and hint at causes: 'Grafana API returned 401. Verify your token is valid and has write:dashboard scope.'
• Add structured logging (not print) to stderr with timestamp, tool name, parameters (excluding secrets), and outcome. Include a request ID or trace ID for audit trails. Example: '[2024-01-15 10:30:45] tool=create_time_series_dashboard action=dashboard_created dashboard_id=xyz status=success public_url=...'
• Improve the 'raw_sql' parameter description to include concrete examples and forbidden patterns. Current: 'Raw SQL query...'. Better: 'Raw SQL query adapted for ClickHouse. Must include SELECT with time and metric columns, WHERE $__timeFilter(<time_column>), GROUP BY time, ORDER BY time. No trailing semicolon. Example: SELECT timestamp AS time, count() AS events FROM logs WHERE $__timeFilter(timestamp) GROUP BY time ORDER BY time'