Strong tool definition with excellent, detailed descriptions and a complete, well-constrained schema. The single tool 'convert_markdown_to_whatsapp' has a description that clearly explains what it does, when to use it, and why an LLM should call it rather than attempting conversion manually. All parameters are typed, documented, and constrained with enums or numeric bounds. The tool is read-only with no state mutation or side effects. The schema follows JSON Schema conventions properly via Zod. The main gap is that output schema structure is not explicitly documented, the tool describes what it returns conceptually (WhatsApp-formatted text, or blocks as JSON) but does not provide a formal output type definition or sample response structure.

• Add a formal output schema definition to the MCP tool registration, documenting the return type and key fields. Example: {type: 'object', properties: {text: {type: 'string', description: 'The WhatsApp-formatted text'}, blocks: {type: 'array', items: {type: 'object', properties: {text: ..., source_line: ..., table_details: ...}}}}}.
• Add error handling guidance to the tool description, e.g. 'Returns an error with guidance if Markdown syntax is invalid or unsupported. Common issues: extremely wide tables (reduce monoWidth), circular references in nested lists.'
• Document the relationship between the 'tableFormat' enum and the fallback behavior. Currently the description implies a graceful degradation, but does not state whether this is automatic or requires user intervention.
• Consider adding a 'validate_only' boolean parameter (default false) to allow LLMs to check Markdown validity before committing to a conversion, supporting the confirmation-request pattern for irreversible operations or expensive computations.