This server exposes a single dynamically-generated tool (dynamic_decision_center_api_tools) whose schema, descriptions, and parameter definitions are NOT visible in the provided source code. The tool is auto-generated from IBM ODM REST API endpoints via OpenAPI parsing, but the actual tool registration, input schemas, parameter descriptions, and output documentation are not shown in the source excerpts. The server code shows generic placeholder handling ('arguments: dict | None') with no evidence of proper JSON Schema definition, parameter validation, or LLM-friendly descriptions. Tool responses are coerced to JSON strings without structured output schema documentation. Per the hard rules, when tool definitions cannot be verified in source code, schema and description scores must be severely penalized. The single tool scores ~28, pulling the overall average to 28.

• Explicitly register each dynamically-generated tool with a properly-formatted tool name starting with an action verb (e.g., 'get_decision_artifact', 'list_deployments', 'update_rule') instead of a single generic 'dynamic_decision_center_api_tools' entry.
• For each tool, generate and expose a complete JSON Schema for inputs, including type definitions, enums for constrained values, required vs optional fields, and min/max constraints on numeric parameters. Document in tool registration, not just as comments.
• Write LLM-optimized descriptions (50 - 200 chars) for each tool that answer: What does it do? When use it? What fields does it return? Example: 'Retrieve metadata for a decision artifact (ID, name, version, owner, modified date). Use to review artifact details before deployment.'
• Document the output schema for each tool, listing field names, types, and sample values. Include chaining hints if the output feeds into other tools (e.g., 'artifact_id can be passed to update_artifact').
• Add comprehensive error handling with actionable messages. When a tool fails, return structured errors that tell the LLM whether to retry, ask the user for clarification, or abort. Example: 'Artifact not found (ID: xyz). Try list_artifacts() to find valid IDs.'
• Validate all input arguments against the expected schema before invoking the DecisionCenterManager. Return clear validation errors with the invalid value, the constraint it violated, and valid alternatives.
• If the OpenAPI spec includes pagination support, expose limit, offset, and/or cursor parameters in tool inputs and document pagination in outputs. Return a total_count or next_cursor to enable agents to iterate over large result sets.