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Validate tool-call args before execution. Returns LLM-friendly retry hints.
Validate tool-call args before execution. Returns LLM-friendly retry hints.
This is a well-structured MCP server for tool argument validation with no security vulnerabilities. The server has proper error handling, does not perform any dangerous operations, and its permissions are appropriately scoped to its purpose. Minor code quality observations (broad catch clauses, potential null reference in lintToolDefinitionTool) do not significantly impact the security posture. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
4 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mukundakatta-agentvet": {
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
MCP server for @mukundakatta/agentvet. Lets Claude Desktop, Cursor, Cline, Windsurf, Zed, or any other MCP client validate LLM-generated tool-call args before execution and produce LLM-friendly retry messages when something's wrong.
npx -y @mukundakatta/agentvet-mcp
Three tools:
validate_tool_args — check args against a small shape spec; returns { valid, error?, retry_hint? } where retry_hint is a ready-to-send LLM feedback message.lint_tool_definition — sanity-check a tool definition for common mistakes that hurt LLM tool-use accuracy.generate_retry_message — given a validation error, build the canonical LLM-facing retry message using agentvet's ToolArgError.toLLMFeedback() formatting.Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"agentvet": {
"command": "npx",
"args": ["-y", "@mukundakatta/agentvet-mcp"]
}
}
}
Same shape for Cursor (~/.cursor/mcp.json), Cline, Windsurf, Zed.
validate_tool_args:
{
"tool_name": "send_email",
"args": { "to": "a@b.com" },
"shape": { "to": "string", "subject": "string", "body": "string" }
}
Returns:
{
"valid": false,
"error": "missing required field: subject",
"retry_hint": "send_email rejected your args: missing required field: subject. Please call again with the corrected arguments."
}
lint_tool_definition:
{
"tool": {
"name": "BadName",
"inputSchema": { "type": "object", "properties": { "x": { "type": "string" } } }
}
}
Returns warnings about non-snake_case name, missing description, missing field descriptions, and no required fields.
generate_retry_message:
{
"tool_name": "send_email",
"validation_error": "missing required field: subject",
"attempted_args": { "to": "a@b.com" }
}
Returns the canonical retry feedback string the runtime callers see — so you can prepare retry text outside the live agent loop.
@mukundakatta/agentvet is a zero-dependency JavaScript library. This MCP server makes its validation primitives accessible from any MCP-aware AI assistant. Useful for quickly auditing a registry of tools, or asking the assistant "is this args object valid for my send_email tool?" without leaving the chat.
For runtime arg validation in your agent loop, use @mukundakatta/agentvet directly inside your Node process (it wraps your tool fn and throws ToolArgError synchronously).
Part of the agent-stack series:
@mukundakatta/agentfit-mcp — Fit it.@mukundakatta/agentguard-mcp — Sandbox it.@mukundakatta/agentsnap-mcp — Test it.@mukundakatta/agentvet-mcp — Vet it. (this)@mukundakatta/agentcast-mcp — Validate it.MIT
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