Server has 8 well-named, read-only tools with consistent verb-noun naming (list_*, get_*, describe_*, node_capacity, cloud_cost_summary). All tools have descriptions (10 - 200 chars, within baseline 34 - 392 range). Input schemas are present with type definitions for all parameters. However, descriptions lack depth, most are 1 - 2 sentences without WHEN to use, prerequisites, or dependency hints. Parameter descriptions are minimal (e.g., 'Target namespace. Defaults to the configured namespace.' lacks format/constraint details). Output schemas are not documented, LLMs cannot predict response structure. Error handling is absent from visible code; no recovery guidance. The cloud_cost_summary tool is explicitly stubbed with placeholder data, reducing practical value. Overall: solid foundation, but lacks LLM-optimization depth and output documentation expected of A-grade tools.

• Document output schemas for all 8 tools. Include field names, types, and nesting. Example: 'Returns {"pods": [{"name": string, "phase": string, "restarts": int}], "total": int}'.
• Add min/max bounds to numeric parameters. E.g., 'tail: Number of trailing lines (1 - 10000, default 100, capped by MCP_MAX_LOG_TAIL).'
• Expand tool descriptions with WHEN/WHY context. E.g., 'Call list_pods to discover pod names and phases. Use pod_health to focus on unhealthy pods only.'
• Implement real cloud_cost_summary or remove it. Stubbed tools reduce credibility and waste agent reasoning cycles.
• Add error recovery hints to descriptions. E.g., 'If pod not found, call list_pods(namespace) to verify the pod exists and is spelled correctly.'

Inferred effective spec: <=2025-11-25.

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