# io.github.MukundaKatta/agentvet

> Use this tool when you need to validate tool-call arguments before execution to prevent errors and ensure smooth workflow. It solves problems related to invalid input handling and provides useful retry hints in a format compatible with Large Language Models (LLMs). The tool takes in arguments as input and returns retry hints as output, making it ideal for use in automated workflows and pipelines.

Canonical page: https://skillsregistry.net/skills/io-github-mukundakatta-agentvet  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentvet

## Description

Validate tool-call args before execution. Returns LLM-friendly retry hints.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MukundaKatta%2Fagentvet)
- **Repository:** <https://github.com/MukundaKatta/agentvet-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-mukundakatta-agentvet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentvet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentvet/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt