debugging-tool-loops

Diagnose repetitive tool call loops and add termination criteria to agent prompts.

97|5|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/friday-platform/friday-studio --skill debugging-tool-loops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debugging-tool-loops
Source: https://github.com/friday-platform/friday-studio/tree/main/packages/system/skills/debugging-tool-loops
Command: npx skills add https://github.com/friday-platform/friday-studio --skill debugging-tool-loops

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the common issue where AI agents get stuck in repetitive tool call loops, hitting step count limits or maximum output token caps without producing a final, usable output, leading to failed workflows and wasted compute resources.

Core Features & Use Cases

  • Loop Signature Diagnosis: Step-by-step checklist to confirm if an agent is stuck in a tool loop by analyzing session tool call patterns.
  • Termination Criterion Guidance: Instructions to add explicit stop conditions to agent prompts to prevent open-ended, repetitive tool calls.
  • Terminal Tool Configuration: Advice on setting up outputTo and complete tool injection to give agents a clear exit path.
  • Use Case: For example, if you have an agent tasked with triaging GitHub issues that runs 10+ repeated search queries without outputting a final report, this skill helps you adjust the prompt and configuration to get a successful result.

Quick Start

Use the debugging-tool-loops skill to diagnose and fix an agent that is stuck making repeated tool calls without producing a final response.

Frequently Asked Questions about debugging-tool-loops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stop an AI agent from getting stuck in a repetitive tool call loop?

To stop an agent stuck in a repetitive tool call loop, diagnose the session's tool call patterns to confirm the loop signature, then add explicit termination criteria to the agent prompt and configure a terminal tool injection for a graceful exit.

Why does my LLM agent exhaust step or token limits without generating a final output?

An LLM agent exhausts step or token limits without generating a final output because it lacks explicit termination criteria in its prompt, causing it to repeatedly invoke search or query tools without finding a clear exit path.

How do I add explicit termination criteria to an agent prompt for workflow debugging?

To add explicit termination criteria for workflow debugging, you update the agent prompt with defined stop conditions and inject terminal tools like `outputTo` and `complete` to enforce a graceful agent exit when conditions are met.

What is the best way to debug an agent that makes repeated search queries during GitHub issue triage?

The best way to debug an agent making repeated search queries during GitHub issue triage is to analyze tool call patterns to identify the loop signature, then adjust the prompt with explicit stop conditions and terminal tool injection to produce a final report.

Can I configure a terminal tool injection to enforce a graceful agent exit?

Yes, you can configure terminal tool injection to enforce a graceful agent exit by setting up `outputTo` and `complete` tools, which provide a clear exit path and prevent the agent from making open-ended, repetitive tool calls.