Critical gaps across all dimensions. Tool 1 (nexus_list_services) has a valid description but empty schema (no properties defined). Tool 2 (nexus_<id>_<endpoint>) is dynamically generated with a generic description that does not explain WHEN to use it or what each service does, the description is a template, not actionable guidance. Both tools lack parameter descriptions: 'query' has no explanation of what input format is expected, what values are valid, or what the service returns. No output schemas documented. No error handling guidance. Tool 2's naming pattern (nexus_<id>_<endpoint>) is opaque, LLMs cannot infer intent from 'nexus_1_search' without reading the registry. No pagination, no result limits, no field documentation.

• Rename Tool 2 tools from 'nexus_<id>_<endpoint>' to action-verb names like 'search_nexus_service_<name>' or 'call_nexus_<service_name>'. Include the service name (not just ID) in the tool name so LLMs can infer intent.
• Add a 'description' field to each service in m2m_service_registry.json that explains what the service does, when to call it, and what it returns. Populate Tool 2's description dynamically from this field instead of using a generic template.
• Document the 'query' parameter: type (string? JSON object?), format (free-form text, structured query language, API endpoint path?), constraints (max length, required fields), and examples of valid inputs.
• Define output schemas for each service. At minimum, document the top-level fields returned and their types. Include pagination info if results can be large.
• Add error handling: catch exceptions in _call_x402(), categorize errors (retryable vs. fatal), and return actionable messages like 'Service timeout. Retry with a shorter query.' or 'Insufficient wallet balance. Top up USDC and retry.'
• Add pagination support: accept 'limit' and 'offset' parameters, return a 'total_count' field, and cap results at 50 items by default to prevent context window exhaustion.