Tool-Use Architectures for Autonomous Agents
Defining the Tool Interface
Every tool an agent can use must have a precise schema definition including input types, output types, error modes, and latency expectations. Ambiguous tool definitions lead to incorrect tool selection and cascading failures in multi-step plans.
Planning and Tool Selection
Modern tool-use agents decompose high-level goals into sub-tasks and match each sub-task to the most appropriate tool. The planning phase considers tool capabilities, estimated latency, and cost to produce an execution plan before any tool is invoked.
Error Recovery in Tool Chains
When a tool call fails mid-chain, the agent must decide whether to retry, substitute an alternative tool, or escalate to a human operator. Our agents maintain a rollback log so partial progress can be unwound cleanly if recovery is not possible.
ActiveMotion Team
AI Research
The ActiveMotion engineering and research team
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