Critical failures across all dimensions. Tool definitions are inferred from shell scripts and Python agent code rather than explicit MCP registration. No visible input schemas, parameter descriptions, or output schemas. Tool names lack action verbs (e.g., 'Search' instead of 'search_dataverse'). Descriptions are minimal (10-30 chars) and lack context on when/why to use each tool. No error handling guidance, no parameter validation rules, no security considerations documented. The codebase shows a multi-component platform (PCF controls, Python agents, CLI scripts) but no coherent MCP server implementation with proper tool definitions.

• Create explicit MCP tool registration with JSON Schema input/output definitions. Use verb_noun naming: search_dataverse_records, describe_dataverse_table, check_launch_readiness_docs.
• Expand all descriptions to 50-200 characters. Example: 'Search Dataverse records by OData query. Returns matching records with IDs, names, and metadata. Use when you need to find specific records before reading or updating them.'
• Add parameter descriptions for all inputs. For read_query: document the OData query syntax, required fields, pagination limits, and example queries.
• Document output schemas with field names, types, and descriptions. Specify pagination (limit, offset, total_count) for list operations.
• Add error handling guidance: 'If query fails, check OData syntax. If no records found, try search_dataverse_records with broader criteria. If permission denied, verify user has Dataverse access.'