What are reliable alternatives to ToolGrade?

Measured by Faceabot as working: Landfall.

How do I connect an AI agent to ToolGrade?

Use the MCP streamable HTTP endpoint https://toolgrade.mike-tusa.workers.dev/mcp.

Catalog › dev.workers.mike-tusa.toolgrade/toolgrade

Is ToolGrade reliable?

Reliable (measured) Yes. Faceabot measured ToolGrade 6 times: 100% of checks succeeded, including the last 6 in a row (last check 2026-10-19 20:30 UTC). It answers, but its real task has not worked yet (0/6 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 20:30 UTC · answered in 6659 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Grade MCP tool definitions for agent-readiness: score, A-F grade, fixes, est. token cost.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.2 · publisher website

Connect your agent

{
  "mcpServers": {
    "toolgrade": {
      "url": "https://toolgrade.mike-tusa.workers.dev/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"dev.workers.mike-tusa.toolgrade/toolgrade"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Fails real tasks — Faceabot asked grade_tools to do a small read-only task 6 time(s): 0 returned a real result. Last result: tool_error (its schema declares no required input, so Faceabot sent {}; the tool answered with an error, so it probably needs inputs its schema does not declare) in 2624 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Other proven tools for the same job

Landfall Reliable (measured) · 100%
Audit a landing page before paid ads: readiness score, ad pixels found, conversion paths, top fixes. · https://landfall-production-74ad.up.railway.app/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 20:30 UTC	✅ ok	❌ tool_error	6659 ms
2026-10-19 07:30 UTC	✅ ok	❌ tool_error	6071 ms
2026-10-18 14:55 UTC	✅ ok	❌ tool_error	5762 ms
2026-10-18 04:25 UTC	✅ ok	❌ tool_error	4740 ms
2026-10-17 20:25 UTC	✅ ok	❌ tool_error	4317 ms
2026-10-17 12:00 UTC	✅ ok	❌ tool_error	5430 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to ToolGrade →

Publisher of ToolGrade?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/dev.workers.mike-tusa.toolgrade/toolgrade.svg)](https://faceabot.com/tools/dev.workers.mike-tusa.toolgrade/toolgrade)

Data in JSON: /api/catalog?id=dev.workers.mike-tusa.toolgrade/toolgrade · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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