Server data from the Official MCP Registry
Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.
About
Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.
Remote endpoints: streamable-http: https://mcp-schema-audit-mcp.mcpize.run/mcp
Security Report
Valid MCP server (3 strong, 3 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-tylerscomic-lab-mcp-schema-audit-mcp": {
"url": "https://mcp-schema-audit-mcp.mcpize.run/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mcp-schema-audit-mcp
An MCP server that audits other MCP tool definitions and marketplace listings for the specific patterns that make models call tools wrong, never call them, or mis-fill their parameters — vague descriptions, missing parameter docs, non-verb-first naming, oversized enums, deeply nested schemas — plus MCPize's own 500-character description limit, which fails at deploy time with no warning until you hit it.
Most tool-definition bugs don't throw errors. They just make a model call the wrong tool, or call the right tool with the wrong arguments, silently and intermittently. This scores every tool 0-100 and tells you exactly which line to fix.
Why this exists
Verb-first naming, parameter descriptions, and schema depth aren't cosmetic — they measurably change how reliably a model picks and fills a tool. This project encodes those patterns as an actual auditor instead of a blog post you have to remember to re-read every time you write a new tool.
Tools
audit_tool_definition
Audit a single tool (name, description, inputSchema). Returns a 0-100 friendliness score and a list of concrete issues, each with severity, why it matters, and the fix.
audit_tool_batch
Same checks across an entire server's tool list, plus cross-tool checks: duplicate names, inconsistent naming convention (snake_case vs camelCase mixed in one server), and a worst-offenders summary.
check_marketplace_description
Validates a marketplace-facing short/long description against known platform limits — specifically catches MCPize's 500-character short-description cap before you burn a deploy attempt finding out the hard way.
Use it
Hosted (recommended, no setup): subscribe on MCPize — free tier included, $7/mo for higher limits.
Self-host:
npm install
node server.js
Exposes a Streamable HTTP MCP endpoint on :8080 (/mcp), health check at /health.
Part of a small suite
Built alongside three sibling correctness-audit tools for Claude Code / MCP builders: cron-schedule-audit-mcp (DST-correct cron validation), regex-safety-audit-mcp (ReDoS detection), and claude-cost-audit-mcp (exact Claude API cost + cache-economics calculator).
License
MIT
Reviews
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