38 tools with complete schemas and descriptions, but quality is uneven. Most tools have adequate naming (verb_noun pattern) and basic descriptions (avg ~80 chars), but lack depth on WHEN/WHY to use them. Parameter descriptions are present but minimal. No output schemas documented. Error handling guidance absent. Tool composition is reasonable (single responsibility), but many tools lack context on dependencies and prerequisites. Baseline: 549 production tools average 194 chars for descriptions; this server averages ~70 chars. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite all being read-only.

• Add output schema documentation to every tool. Document field names, types, and what each field represents. E.g., weather should document {temperature, humidity, condition, location, timestamp}.
• Expand tool descriptions to 100-200 chars. Include WHEN to use (e.g., 'Use when user asks for current conditions, not forecasts'), WHEN NOT to use, and any prerequisites (e.g., 'Requires valid IANA timezone').
• Add enum constraints to parameters with known valid values. E.g., devutils_case_convert.case should be enum: [upper, lower, title, camel, snake, kebab]. Replace free-form strings with formal constraints.
• Add readOnlyHint annotation to all 38 tools in the schema. This signals to clients that these tools are safe to retry and cache, improving agent reliability.
• Document parameter formats and constraints in descriptions. E.g., time.timezone: 'IANA timezone string (e.g., Asia/Shanghai, America/New_York)'. devutils_hash.algorithm: 'One of: md5, sha1, sha256, sha512'.