Single tool 'create_timeline' has adequate naming and schema structure but suffers from critical gaps in parameter descriptions, missing output schema documentation, and incomplete error handling guidance. The tool description is decent (120+ chars) but parameters lack detail. The config parameter is poorly documented with only a generic 'Optional task configuration' note and example enum values in description rather than formal schema constraints. No documented return schema. Code shows progress reporting capability but the tool definition itself does not reflect current best practices for LLM-facing interfaces.

• Add explicit output schema documentation to create_timeline. Example: 'Returns {"task_id": string, "status": string, "message": string, "created_at": ISO8601 timestamp}'. This enables LLMs to chain follow-up calls using task_id.
• Formalize the config.data_source_preference parameter as a JSON Schema enum: properties.config.properties.data_source_preference should declare enum: ['online_wikipedia', 'online_news', 'dataset_wikipedia_en'] rather than relying on description text.
• Expand topic_text parameter description to 50+ chars explaining constraints: 'The topic or historical subject (1-500 characters, e.g. "French Revolution", "Apollo 11 Moon Landing"). Required.'
• Document error cases in the tool description: 'May fail if database unavailable or topic_text is empty. Retryable errors include database timeouts. Non-retryable: invalid data_source_preference value.'
• Consider adding a WRITE risk annotation (already present in metadata) to the tool definition itself to help clients understand this is a state-modifying operation.
• Add guidance for dependencies: 'Call this tool to initiate timeline generation. Use poll_timeline_status(task_id) to monitor progress or retrieve_timeline(task_id) to fetch completed results.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry