This server defines 13 tools with basic schema coverage but significant quality gaps. Most tools have descriptions (11/13 above 20 chars), but descriptions are terse and lack context about WHEN to use each tool or HOW results chain to downstream operations. Parameter descriptions are minimal or generic. No tool documentation addresses error recovery, idempotency, or safety of destructive operations. The server exposes a functional KV storage interface but lacks the pedagogical depth needed for confident LLM tool selection in multi-step workflows. Key issues: (1) Many parameter descriptions are single words ('Key in KV store') rather than actionable guidance; (2) No output schema documentation, LLMs cannot predict what fields they'll receive; (3) Write/destructive tools lack warnings or confirmation patterns; (4) Tool names are clear but descriptions do not explain composition (e.g., when to use getItem vs getItemRaw vs getMeta); (5) Error handling is silent, tools catch exceptions and log them but return generic 'success' or 'null' without guidance for recovery.

• Add explicit output schema documentation to each tool. E.g., 'Returns: {content: [{type: "text", text: string}]}' for write operations; 'Returns: {content: [{type: "text", text: JSON.stringify(value)}], value_type: "string"|"json"|"object"}' for getItem to clarify whether LLM should parse the returned text.
• Expand parameter descriptions to 50-150 chars. For 'key' param: 'The storage key to access. Keys are case-sensitive, must be 1-256 chars, and can contain alphanumerics, hyphens, underscores, and colons (e.g., user:123:profile).' This guides valid input and prevents hallucinated keys.
• Add confirmation pattern for destructive operations (removeItem, setItem with overwrite risk). Return {confirmed: false, message: 'Ready to delete key "user:123". Call removeItem with confirmed: true to proceed.'} on first call; only execute on confirmed: true.
• Document idempotency and safety for write tools. E.g., setItem: 'Idempotent, calling setItem twice with the same key and value is safe and produces the same result. However, if you need to preserve previous values, check getMeta first.'
• Enrich error responses. Instead of catching silently and returning 'success' or 'null', return structured errors like {content: [{type: 'text', text: 'Error: Key "user:123" not found. Available keys starting with "user:": [user:100, user:101, ...]'}]} to enable LLM self-correction.
• Add pagination to getKeys(). Signature: getKeys(base?, {maxDepth?, limit=50, offset=0}). Return {keys: [string], total: number, hasMore: boolean} so LLMs can iterate through large result sets.

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

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