Name: Harshit-J004/toolguard
Rating: 3.3 (1 reviews)
Author: Harshit-J004

Harshit-J004/toolguard

Score: 56.3 Rank #14 Agent Framework

Pytest-style reliability testing for AI agent tool chains. Catches hallucinated payloads, schema errors, and cascading failures before production.

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Overview

Harshit-J004/toolguard is a Python agent tool licensed under MIT. Pytest-style reliability testing for AI agent tool chains. Catches hallucinated payloads, schema errors, and cascading failures before production. Topics: ai-agents, crewai, function-calling, fuzzing, langchain, observability, pydantic, pytest, python, reliability, schema-validation, testing, tool-calling, agent-framework, ai-reliability, ai-testing, ai-tools, automation, developer-tools, llm-agents.

Ranked #14 out of 110 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT 233 pypi/wk

ai-agentscrewaifunction-callingfuzzinglangchainobservabilitypydanticpytestpythonreliabilityschema-validationtestingtool-callingagent-frameworkai-reliabilityai-testingai-toolsautomationdeveloper-toolsllm-agents

Score Breakdown

Stars 15% 5

5 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 233/wk

233 weekly installs → early adoption

Forks 1

Description Good

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

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Contributors medium impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 5
Forks: 1
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: MIT
Last Commit: 1d ago

Matched Queries

"agent tool"

From the README

<div align="center">

# 🛡️ ToolGuard

**Reliability testing for AI agent tool chains.**

Catch cascading failures before production. Make agent tool calling as predictable as unit tests made software reliable.

</div>

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## 🧠 What ToolGuard Actually Solves

Right now, developers don't deploy AI agents because they are fundamentally unstable. They crash.

There are two layers to AI:
1. **Layer 1: Intelligence** (evals, reasoning, accurate answers)
2. **Layer 2: Execution** (tool calls, chaining, JSON payloads, APIs)

**ToolGuard does not test Layer 1.** We do not care if your AI is "smart" or makes good decisions. That is what eval frameworks are for.

**ToolGuard mathematically proves Layer 2.** We solve the problem of agents crashing at 3 AM because the LLM hallucinated a JSON key, passed a string instead of an int, or an external API timed out. 

> *"We don't make AI smarter. We make AI systems not break."*

## The Solution

Test your agent's tools against edge-cases *before* yo

Read full README on GitHub →