Wellness-Master demonstrates solid tool design with clear naming conventions (verb_noun pattern), comprehensive descriptions (avg 180+ chars), and explicit enum constraints for parameters. All 8 tools are properly registered with input schemas. However, output schemas are not formally documented in the code, and error handling lacks recovery guidance. The server targets a specialized domain (wellness micropayments) with well-structured parameter validation via Zod, but descriptions could be more concise for LLM parsing efficiency.

• Document output schemas formally (JSON Schema) for all tools. E.g., get_item should declare: {type: 'object', properties: {id, format, lang, audience, content, ...}, required: [...]}. This enables LLMs to plan multi-step workflows and extract the right fields.
• Shorten paid-tool descriptions to 100 - 150 chars. Move cost, settlement details, and audience tuning to a separate 'notes' or 'prerequisites' field. Current descriptions (200+ chars) are information-dense but token-expensive.
• Add structured error responses with classification. Return {error: string, code: 'insufficient_balance'|'invalid_format'|'network_error', retryable: boolean, suggestion: string}. This guides LLM recovery without parsing natural language.
• Implement a cost_estimate tool or dry-run parameter for paid operations. Before calling get_item, agents should be able to query 'What will this cost?' and confirm. Prevents accidental wallet drain.
• Inline enum values in parameter descriptions or provide a compact reference. Instead of 'One of the 18 format ids (see list_formats)', say 'One of: meditation, affirmation, riddle, ... (call list_formats for full list)' or use a $ref to a shared enum definition.