tool-validation

Safe local execution layer for AI agent tools. Build and test-run MCP tools (no pass, no run), serve them from a built-in MCP server, and use them in Agentic Chat with RAG, human-in-the-loop approval, and built-in observability. Cross-platform desktop app powered by Spring AI.

A type-checker and contract layer for AI agent tool calls, deny-by-default, in-process, Pydantic-only. Strict argument validation, ghost-argument stripping, and self-healing retries for MCP servers and agent frameworks.

🛡️ Open-source safety guardrail for AI agent tool calls. <2ms, zero dependencies.

MCP server: validate tool-call args before execution. Wraps @mukundakatta/agentvet.

GitHub Action that lints LLM tool definitions (Anthropic / OpenAI / MCP shapes). Wraps @mukundakatta/agentvet.

Block prompt injection, path traversal, SQL injection, and more — before your agent's tools execute. Zero deps, sub-millisecond.

Python port of @mukundakatta/agentvet: validate LLM-generated tool args before execution

Validate LLM-generated tool args before execution. Wrap your tools with a schema; throws ToolArgError with an LLM-friendly retry hint. Zero deps.