Critical failures across all dimensions. Source code inspection of tempcast/mcp/__init__.py reveals NO tool definitions, schemas, descriptions, or parameter documentation. The MCP server code is not present in the provided source excerpt. Only a Hydra-based ML training application is visible. Tools are listed in the metadata but cannot be verified in the actual codebase. Average of 6 tools with 0 schemas and 0 descriptions = 0 baseline, raised only by verb-starting names (query_, probe_, compare_, get_, diagnose_, summarize_) which earn minimal naming credit.

• Provide the actual tempcast/mcp/__init__.py file showing tool registration, schemas, and descriptions. Current source excerpt contains only the Hydra training app, not the MCP server implementation.
• Add comprehensive descriptions (50 - 200 chars) to each tool explaining WHAT it does, WHEN to use it, and WHAT it returns. Example: 'query_wandb_tool: Query Weights & Biases project metadata and run history. Use to discover available runs before comparing or diagnosing. Returns run IDs, configs, and metrics.'
• Define JSON Schema input schemas for all parameters with explicit types (string, number, boolean, array, object), enums for constrained values, and descriptions for each parameter. Example: { 'type': 'object', 'properties': { 'project_name': { 'type': 'string', 'description': 'W&B project name (e.g., my-org/my-project)' } }, 'required': ['project_name'] }
• Document output schemas showing the structure of returned data (fields, types, nested objects). Include pagination support (limit, offset, total_count) if tools return lists.
• Add error handling that returns actionable guidance: 'Project not found. Available projects: [list]. Try search_projects() for partial matches.' instead of bare error codes.