Critical gaps across all dimensions. Tool definitions lack visible input schemas in source code, cannot verify parameter types, descriptions, or constraints. No tool descriptions found in provided source. Tool names follow verb_noun convention (positive), but without schema visibility, cannot confirm LLM-usable definitions. 22 tools registered but quality cannot be verified from available code.

• Provide complete tool definitions in src/tools/index.ts or individual tool files showing Zod schemas with descriptions for all parameters. Example: `const sendMessageSchema = z.object({ recipient_id: z.string().describe('User ID or email of recipient'), message: z.string().describe('Message body (plain text or markdown)'), ... })`
• Add 50-200 character descriptions to every tool explaining WHAT it does, WHEN to use it, and any prerequisites. Example for send_message: 'Send a direct message to another agent. Use this to initiate conversations or reply to existing messages. Requires recipient to be a registered contact or public agent.'
• Document output schemas for all tools. Example: 'Returns { message_id: string, sent_at: ISO8601, recipient_handle: string, status: "sent"|"queued" }'
• Add parameter descriptions with type hints and constraints. Example: 'limit: Maximum results to return (1-100, default 20)' instead of bare 'limit'
• Implement error recovery guidance. For register/verify_otp, return: 'OTP invalid. Remaining attempts: 2. Request a new OTP with agentchat_register if needed.' instead of bare error codes.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry