Two simple, well-named tools with clear descriptions and proper schemas. Both tools have input schemas with typed parameters and descriptions. However, output schemas are not documented, LLMs cannot predict what fields to expect. Error handling is minimal (only convert_case catches exceptions). No parameter enums despite convert_case accepting a fixed set of case types. Tool descriptions are adequate (100 - 150 chars) but lack guidance on when to use each tool or what the output structure contains. No tool annotations (readOnlyHint, etc.). Overall: functional but incomplete for production use.

• Add output schema documentation to both tools. Example for convert_case: 'Returns {input: string, target: string, result: string}'. Example for all_cases: 'Returns {input: string, cases: {camel: string, pascal: string, ...}}'.
• Convert 'target' parameter to enum in convert_case inputSchema: 'enum': ['camel', 'pascal', 'snake', 'kebab', 'constant', 'title', 'sentence', 'lower', 'upper', 'dot', 'slug'].
• Add tool annotations: set readOnlyHint: true and idempotentHint: true on both tools to signal safety to agents.
• Enhance error handling: validate text is non-empty in all_cases; return structured errors like {error: 'Invalid case type', valid_cases: [...]} instead of raw exception messages.
• Clarify tool selection in descriptions: 'Use convert_case to transform text to a single target case. Use all_cases to see all 11 case variants at once for comparison or batch conversion.'