Schema Gen provides 12 well-named tools with consistent verb_noun naming (generate_*_schema). All tools have descriptions and input schemas with typed parameters. However, output schemas are completely undocumented, the code shows tool registration but no return type documentation. Parameter descriptions are present but generic (e.g., 'Array of {question, answer} objects' lacks structure detail). No error handling guidance, no validation rules, and no examples of what the generated JSON-LD looks like. Tools are read-only (low risk), but lack the depth expected for production use.

• Document output schemas for all 12 tools. Specify the exact JSON-LD structure returned, including all fields, types, and nesting. Example: 'Returns a JSON-LD object with @context, @type, and fields: name (string), jobTitle (string), url (string), ...'
• Add format constraints to date/time parameters. Replace 'Date of birth (YYYY-MM-DD)' with 'Date of birth in ISO 8601 format (YYYY-MM-DD). Example: 2000-01-15. Required for valid Schema.org markup.'
• Enhance array parameter descriptions with structure. Replace 'Array of {question, answer} objects' with 'Array of objects, each with: question (string, required), answer (string, required). Example: [{"question": "What is X?", "answer": "Y is..."}]'
• Add error handling guidance. Document what happens if required fields are missing or invalid. Example: 'If name is empty, returns error: "Person schema requires name field. Provide a non-empty string."'
• Include composition hints in tool descriptions. Add: 'Often used with generate_organization_schema to create linked Person-Organization markup for company profiles.'