13 tools with consistent naming (generate_* verb pattern) and complete input schemas. However, parameter descriptions are sparse or missing entirely. Most tools lack descriptions of what their parameters control (e.g., 'locale' in generate_person has no description; 'type' in generate_text lacks explanation). Output schemas are not documented, LLMs cannot predict return structure. Error handling is minimal. Tool descriptions are adequate (50-100 chars) but lack guidance on when to use each tool vs. alternatives. No tool annotations (readOnlyHint, etc.). Composition is sound, each tool does one thing, but parameter documentation falls short of production baseline (100% of A+ tools have param descriptions; this server has ~30% coverage).

• Add descriptions to all parameters. For each enum (locale, type, format, version, country, complexity), explain what each value does. E.g., 'locale: Language for generated names and addresses (en=English, kr=Korean).'
• Document output schemas in tool descriptions. E.g., 'Returns an array of objects with fields: {name: string, email: string, phone: string, address: string, company: string}.'
• Add tool annotations to inputSchema. Set 'readOnlyHint: true' and 'idempotentHint: true' for all tools to signal safety properties to agents.
• Enhance error messages in executeTool(). When generate_custom fails, return 'Invalid schema. Valid generator paths: person.fullName, person.email, number:min-max, email, uuid, etc.' instead of a generic error.
• Add min/max constraints to numeric parameters in schema. E.g., 'count: {type: number, minimum: 1, maximum: 100, default: 1}' instead of relying on runtime clamping.