Coupling Planning with Tool-Grounded Checks

Develop algorithms that couple agent search and planning with tool-grounded feedback (such as unit tests, compilers, structured queries, and web state) by defining reliable scoring functions and termination criteria that integrate tool outputs into the planning loop.

Background

Search-based planning improves reliability but often lacks principled integration of external feedback from tools that can verify feasibility or correctness. Bridging this gap requires mechanisms to incorporate tool outputs into the planner’s evaluation and stopping rules.

Such coupling would enable agents to allocate test-time compute more effectively, commit only to validated plans, and recover from failures via evidence-driven replanning, improving robustness on long-horizon, tool-rich tasks.