# Tool Agent Calibration

> The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents. From arXiv:2601.07264

- Skill: `adu2021/tool-agent-calibration` (Agent Skill)
- Install (CLI): `npx skillmds@latest add adu2021/tool-agent-calibration`
- Raw SKILL.md: https://api.skillmd.com/api/skills/adu2021/tool-agent-calibration/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: adu2021 (https://skillmd.com/u/adu2021)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/adu2021/tool-agent-calibration

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## Overview

This skill implements the approach from the paper: The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents

## Purpose

Implements advanced techniques for agent reasoning, search, and learning described in arXiv:2601.07264.

## Method

[To be populated from full paper analysis]

## When NOT to use

- Oversimplified reasoning tasks
- Time-critical applications requiring minimal overhead
- Scenarios not matching the paper's problem formulation

## References

- Paper: https://arxiv.org/abs/2601.07264
- HTML: https://arxiv.org/html/2601.07264