arXiv (All)
open access
How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by Suppression
Tool calling, invoking external tools on demand, is central to agentic LLMs, yet the mechanism that decides whether a model calls a tool or responds directly remains poorly understood. Agentic prompts are long and heavily scaffolded, combining role instructions, tool schemas, format templates, and t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Many-Tier Instruction Hierarchy in LLM Agents#972429
- Using LLMs in Software Design: An Empirical Study of GitHub and A Practitioner Survey#1036689
- Callability Is Not Operability: Controlled Interface Interventions for LLM Agents#793906
- Callability Is Not Operability: Controlled Interface Interventions for LLM Agents#789887
- Software World Models: From Consequence Prediction to Decision Value#1200591
Record · ID 1233992
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive