Question

Your content-curation agent finds articles, evaluates each one for relevance, and then adds chosen articles to themed collections. Using separate `discover_articles(topic)`, `analyze_article(id)`, and `add_to_collection(article_id, collection_id)` tools, you observe 18+ sequential tool calls per request, creating latency problems. The agent must make editorial decisions about which articles match a collection’s theme—this requires viewing all candidates and their analysis scores at the same time to choose a cohesive set. Which tool composition best improves efficiency while retaining editorial judgment?

Accepted Answer

C. Create a discover_and_analyze(topic) composite tool that returns all candidates with their analysis scores, keeping add_to_collection separate for selective calls.

Answer

Keep all tools separate but implement response caching for analyze_article calls.

Answer

Create a curate_collection(topic, collection_id) tool that handles discovery, analysis, and selection internally using configurable quality thresholds.

Answer

Add a preview_curation(topic, collection_id) tool that shows what would be added based on predefined rules, with an approve_curation() tool to confirm.