Function-Calling

TL;DR for operators A tool-using agent can remember the right customer, constraint, or prior result and still make the wrong call. From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use1 treats that gap as an architectural problem rather than only a prompting problem. Its strongest configuration separates four jobs: reconstruct the active task state, decide whether execution is actually warranted, choose a permitted action structure, and only then bind concrete arguments. On ToolDial, Specialized OODA beats Direct-LoRA at every tested Qwen3 scale, by 4.48 to 6.99 percentage points in Task Success. The gains are largest where state must survive long histories, missing information, changed values, constraints, or sequential dependencies. ...

Shapefiles are not glamorous. They do not trend on X. They do not arrive with a cinematic demo video. They sit quietly inside urban planning departments, logistics dashboards, agricultural surveys, disaster response systems, environmental studies, real estate models, and public health maps. Then someone needs to clip a layer, create buffers, run an overlay, calculate spatial relationships, or generate Voronoi polygons, and suddenly the supposedly simple data task becomes a small pilgrimage through GIS software, file formats, coordinate systems, geometry types, and attribute tables. ...

Enterprise AI teams love an architecture diagram. Boxes, arrows, specialist agents, memory stores, tool registries, a tasteful orchestrator sitting at the top like a middle manager with JSON access. It looks reassuring. It looks intentional. It also looks suspiciously like the kind of thing that can fail in six different places while still producing a beautifully formatted answer. ...