A new measurement by dev.to compares intent-sized versus resource-sized API tools for AI agents, using a restaurant kitchen example. The study found that intent-sized tools, which group operations by user intent (e.g., 'place_order'), performed better by adhering to safety sentences, preventing issues like inventing item names. Resource-sized tools, derived directly from REST APIs (e.g., 'create_order'), were more prone to dangerous errors like using restaurant names as IDs due to less descriptive generated contracts. AI
IMPACT This research highlights how API design and descriptive contracts significantly impact AI agent behavior and safety, influencing how agents interpret and execute tasks.
RANK_REASON The item details a measurement and comparison of two different API design approaches for AI agents, presenting findings and analysis. [lever_c_demoted from research: ic=1 ai=1.0]
- create_order
- De Molen Bistro
- get_menu
- get_menu_item
- Get Order!
- get_restaurant
- GPT 5.4 Mini
- list_menu_items
- list_orders
- list_restaurants
- Margherita
- MCP
- measure/eval_granularity.py
- Nijmegen
- OpenAPI
- place_order
- Representational State Transfer
- search_restaurants
- Stamppot
- What the Agent Pays for Discovery
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