# AgentVet

> Use this tool when you need to validate and refine Large Language Model (LLM)-generated tool arguments for safe execution within AI assistant platforms. AgentVet solves issues related to schema violations and provides corrective feedback for retries, ensuring reliable tool integration. It takes in LLM-generated arguments and tool definitions as input, producing validated outputs and informative error messages.

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

## Description

AgentVet MCP server validates LLM-generated tool arguments before execution within AI assistant platforms. It provides three tools — validate_tool_args, lint_tool_definition, and generate_retry_message — to catch schema violations and generate corrective feedback for retries.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mukundakatta-agentvet)
- **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": "mukundakatta-agentvet"
    }
  }
}
```

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