Cover Image

Breaking the Illusion of Identity in LLM Tooling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Miller, Marek
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Tool-Overuse Illusion: Why Does LLM Prefer External Tools over Internal Knowledge?
by: Zeng, Yirong, et al.
Published: (2026)

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation
by: Perera, Wanni Vidulige Ishan, et al.
Published: (2025)

EvolveTool-Bench: Evaluating the Quality of LLM-Generated Tool Libraries as Software Artifacts
by: Kaliyev, Alibek T., et al.
Published: (2026)

The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason
by: Liang, Shanchao, et al.
Published: (2025)

AISysRev -- LLM-based Tool for Title-abstract Screening
by: Huotala, Aleksi, et al.
Published: (2025)

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents
by: Fei, Xiang, et al.
Published: (2025)

Schema First Tool APIs for LLM Agents: A Controlled Study of Tool Misuse, Recovery, and Budgeted Performance
by: Sigdel, Akshey, et al.
Published: (2026)

Solver-Aided Verification of Policy Compliance in Tool-Augmented LLM Agents
by: Winston, Cailin, et al.
Published: (2026)

Graph-Based Self-Healing Tool Routing for Cost-Efficient LLM Agents
by: Bholani, Neeraj
Published: (2026)

ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox
by: Li, Yuanyang, et al.
Published: (2026)

LogDx-CI: Benchmarking Log Reduction Tools for LLM Root-Cause Diagnosis
by: Qin, Bowen
Published: (2026)

Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios
by: Hu, Ruida, et al.
Published: (2026)

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context
by: Li, Yichen, et al.
Published: (2024)

Z-Space: A Multi-Agent Tool Orchestration Framework for Enterprise-Grade LLM Automation
by: He, Qingsong, et al.
Published: (2025)

RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation
by: Gan, Tiantian, et al.
Published: (2025)

Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools
by: Son, Ha Min, et al.
Published: (2025)

Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems
by: Xiong, Qian, et al.
Published: (2025)

ToolFuzz -- Automated Agent Tool Testing
by: Milev, Ivan, et al.
Published: (2025)

Investigating Tool-Memory Conflicts in Tool-Augmented LLMs
by: Cheng, Jiali, et al.
Published: (2026)

ParaTool: Shifting Tool Representations from Context to Parameters
by: Yu, Zekai, et al.
Published: (2026)

ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs
by: Kokane, Shirley, et al.
Published: (2024)

LDP: An Identity-Aware Protocol for Multi-Agent LLM Systems
by: Prakash, Sunil
Published: (2026)

ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents
by: Li, Dawei, et al.
Published: (2026)

Breaking Barriers in Software Testing: The Power of AI-Driven Automation
by: Naqvi, Saba, et al.
Published: (2025)

Breaking the Myth: Can Small Models Infer Postconditions Too?
by: Zhang, Gehao, et al.
Published: (2025)

DynamicsLLM: a Dynamic Analysis-based Tool for Generating Intelligent Execution Traces Using LLMs to Detect Android Behavioural Code Smells
by: Cherief, Houcine Abdelkader, et al.
Published: (2026)

ToolMisuseBench: An Offline Deterministic Benchmark for Tool Misuse and Recovery in Agentic Systems
by: Sigdel, Akshey, et al.
Published: (2026)

Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
by: Agarwal, Anisha, et al.
Published: (2024)

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?
by: Wu, Guanghan, et al.
Published: (2025)

Semantic Tool Discovery for Large Language Models: A Vector-Based Approach to MCP Tool Selection
by: Mudunuri, Sarat, et al.
Published: (2026)

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning
by: Morabito, Roberto, et al.
Published: (2025)

The Causal Impact of Tool Affordance on Safety Alignment in LLM Agents
by: Yu, Shasha, et al.
Published: (2026)

User Centric Evaluation of Code Generation Tools
by: Miah, Tanha, et al.
Published: (2024)

VQA support to Arabic Language Learning Educational Tool
by: Delassi, Khaled Bachir, et al.
Published: (2025)

Tool-integrated Reinforcement Learning for Repo Deep Search
by: Ma, Zexiong, et al.
Published: (2025)

Safer Builders, Risky Maintainers: A Comparative Study of Breaking Changes in Human vs Agentic PRs
by: Ferdous, K M, et al.
Published: (2026)

ASA: Training-Free Representation Engineering for Tool-Calling Agents
by: Wang, Youjin, et al.
Published: (2026)

Squeez: Task-Conditioned Tool-Output Pruning for Coding Agents
by: Kovács, Ádám
Published: (2026)

Applying an Agentic Coding Tool for Improving Published Algorithm Implementations
by: Suwannik, Worasait
Published: (2026)

ReXCL: A Tool for Requirement Document Extraction and Classification
by: Bhattacharya, Paheli, et al.
Published: (2025)