Five tools with complete input schemas and descriptions, but significant quality gaps. All tools follow verb_noun naming (analyze_, resource_, live_, check_, investigate_). Descriptions range 120-180 chars, meeting the 10-1024 baseline. However, parameter descriptions are minimal (5-15 chars), far below the 72-char average for A+ tools. No output schemas documented. No error handling guidance. No tool annotations (readOnlyHint present in metadata but not in schema). Tools are read-only (good for safety) but lack recovery guidance if calls fail. Schema completeness is present but sparse, parameters lack constraints, ranges, or format hints. No pagination support despite tools returning potentially large result sets (e.g., topology mapping, certificate scanning). This is typical C-grade community server work: functional definitions, but not LLM-optimized.

• Expand parameter descriptions to 50-100 chars. E.g., 'time_range: Time window for analysis (e.g., "24h", "7d", "1w"). Defaults to 24h if omitted.'
• Document output schemas for each tool. E.g., analyze_failed_pipeline returns {root_cause: string, confidence_score: 0-100, remediation_steps: [string], affected_tasks: [string]}.
• Add pagination to tools returning lists: add limit (default 20, max 100) and offset/cursor parameters. Document result count and next_cursor in output.
• Add enum constraints for string parameters. E.g., output_format: enum ["graphviz", "mermaid", "json"]. Add min/max for numeric parameters (forecast_hours: 1-720).
• Add error handling guidance to descriptions. E.g., 'If pipeline not found, returns error with available pipelines in namespace. If no metrics available, returns partial analysis with confidence_score < 50.'

Inferred effective spec: 2026-07-28+.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry