Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives
Large language models (LLMs) augmented with external tools have demonstrated remarkable capability in solving complex real-world tasks. However, existing approaches suffer from two key challenges: brittle multi-step and multi-turn reasoning caused by incompatible tool output types and API schemas, and performance degradation under large tool catalogues. To address these, we introduce \textbf{Tool Primitives}, a design that replaces rigid API schema-based invocation with natural language as the interface for tool calling, where each tool is wrapped with an LLM interface that handles schema resolution and execution internally, enabling natural inter-tool communication for nested and multi-t...
| Authors | Haibo Jin, Suijin Wang, Xucheng Yu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 1 September 2026 |
| Last updated at source | 1 September 2026 |
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