This server has 9 tools with basic schemas and descriptions, but falls significantly short of production quality. Tool names follow verb_noun convention (add_email_account, delete_email_account, etc.), which is good. However, descriptions are thin (most are 20-50 chars), lacking critical details about when to use each tool, prerequisites, and output structure. Parameter descriptions exist but are generic and repetitive (e.g., 'The full email address for which to send client settings' appears 5 times verbatim, which is copied-paste evidence). No output schemas are documented, making it impossible for LLMs to plan downstream calls. Error handling is absent, no recovery guidance, no categorization of retryable vs fatal errors. Security concerns: password parameters are accepted as plain tool inputs rather than via secret injection. The server's tool interface does not match the chat data model, it requires explicit domain parameters for list operations rather than deriving context from prior calls. Schemas have types and basic structure, preventing the score from falling below 50, but lack depth needed for safe agent use.

• Add output schemas to ALL tools. Example for add_email_account: {"email": string, "quota_mb": integer, "created_at": ISO8601_date, "status": string}. Document what the LLM receives after calling the tool.
• Move password parameters to server-side secret injection. Remove 'password' from add_email_account and change_password tool signatures. Instead, read CPANEL_PASSWORD from environment or secure vault inside the connector. If password rotation is needed, accept a 'password' via a separate secure channel (e.g., a secrets management UI) and store it server-side.
• Add pagination to list_email_accounts and list_email_forwarders. Include parameters: 'limit' (1-100, default 20) and 'offset' (default 0). Return {"accounts": [...], "total_count": integer, "has_more": boolean}.
• Rewrite all tool descriptions to be 50-150 chars, specific, and action-oriented. Example: 'List all email accounts for a domain with pagination. Returns account name, quota (MB), creation date, and status. Use this to discover existing accounts before modifying or deleting.'
• Fix copy-paste descriptions. Each parameter needs a unique, accurate description. Example for change_password: 'Email address of the account whose password will be changed (format: user@domain.com).'
• Implement error handling with recovery guidance. Return structured errors: {"error": string, "code": string (retryable|user_fixable|fatal), "guidance": string}. Example: 'Email already exists. Try list_email_accounts(domain=example.com) to see existing accounts, or choose a different username.'