Two tools with basic schemas and descriptions, but significant gaps in parameter documentation and error handling. Tool names follow verb_noun pattern (create-user, create-random-user), which is good. However, parameter descriptions are completely absent, the inputSchema uses Zod types without any descriptive text explaining what each field means or accepts. The 'create-user' description (18 chars) is below the 20-char minimum for actionable guidance. Output schemas are documented (z.string()) but minimal. Error handling is generic ('Failed to create user') with no recovery guidance. Tool annotations are present but incomplete (destructiveHint and idempotentHint both false despite these being write operations). No pagination, no input validation messaging, no security considerations documented.

• Add detailed parameter descriptions to create-user: 'name (string, 1-100 chars, required): Full name of the user. email (string, valid email format, required): User email address. phone (string, format: +1-XXX-XXX-XXXX or similar, required): Contact phone number. address (string, 1-500 chars, required): Full mailing address.'
• Expand create-user description to 50-150 chars: 'Create a new user record in the database with name, email, phone, and address. Returns the new user ID. Use this when onboarding a new user or adding to a contact list.'
• Replace generic error messages with actionable guidance: 'Failed to create user: missing required field phone. Provide phone in format +1-XXX-XXX-XXXX.' or 'Failed to generate user data: LLM returned invalid JSON. Retry with a simpler prompt.'
• Correct tool annotations: set destructiveHint: true and idempotentHint: false for both tools (they modify state and are not idempotent, repeated calls create duplicate users).
• Remove server-initiated sampling from create-random-user. Instead, accept a 'name' parameter and use elicitation/create to request missing fields, or integrate LLM calls at the client layer. Sampling is deprecated; migrate to direct LLM provider integration.

Inferred effective spec: 2025-06-18+.

• Relies on Sampling (deprecated) - integrate directly with the LLM provider API