Agentvet

Wraps the agentvet validation library as three MCP tools you can call from Claude Desktop, Cursor, or any MCP client. validate_tool_args checks an arguments object against a shape spec and returns an LLM-ready retry message when something's missing or wrong. lint_tool_definition scans a tool's JSON schema for common mistakes that hurt LLM accuracy, like missing descriptions or non-snake_case names. generate_retry_message builds the canonical feedback string from a validation error. Useful when you want to audit a batch of tool definitions or prototype validation logic in chat before wiring it into your agent runtime. For production validation loops, the underlying agentvet library runs synchronously in your Node process and throws ToolArgError directly.