Server has 12 well-named tools with clear verb-noun patterns (td_get_*, td_create_*, td_delete_*, td_set_*, td_connect_*, td_disconnect_*, td_execute_*, td_list_*, td_find_*). All tools have descriptions (avg ~120 chars, within 10-1024 range). Input schemas are present with type definitions and parameter descriptions. However, output schemas are NOT documented, responses are inferred from code but not formally declared. Error handling is minimal; no recovery guidance or error categorization. Token-efficiency optimizations (default field sets, pagination) are good, but missing structured error responses and confirmation patterns for destructive ops.

• Add formal output schemas to all tools. Document response structure as JSON Schema (e.g., td_get_op_info returns {name: string, type: string, family: string, ...}). This enables LLMs to plan chained calls.
• Implement confirmation pattern for td_delete_op: add a 'confirm' boolean parameter (default false) or a separate 'confirm_delete_op' tool. Require explicit confirmation before irreversible deletion.
• Enhance error responses with recovery guidance. E.g., 'Invalid op_type "noize". Did you mean: noiseCHOP, noiseTOP? Call td_list_ops(family="CHOP") to discover available operators.' Reference the fuzzy matching logic already in webserver_callbacks.py.
• Add enum constraints to parameter descriptions. E.g., td_find_empty_space direction: 'Placement strategy, one of: "right" (next to rightmost op), "below" (under bottommost op), "grid" (find first free slot)'. Use JSON Schema enum field in addition.
• Restrict td_execute to a whitelist of safe operations or require explicit permission scope. Document what code is allowed (e.g., 'read-only queries only' vs. 'full Python access'). Add audit logging for all code execution.