Suggestion: Clarvia AEO integration for evaluating AI tool quality

[digitamaz]

Clarvia AEO: Tool Quality Scoring for AI Suite

Hi! Long-time fan of AI Suite's unified LLM interface.

I wanted to suggest a potential complementary tool: Clarvia — an AEO (AI Engine Optimization) quality scanner that evaluates MCP servers and AI tools on their agent-readiness.

Context

As AI Suite users build more complex agent workflows with tool calling, the quality of the tools (function descriptions, parameter docs, response formats) directly impacts how well the LLM can use them. Clarvia provides a standardized quality score — the "AEO score" — across 27,906+ indexed tools.

What this enables

• Pre-select high-quality tools before adding them to your AI Suite agent
• Compare tools: "Is Tool A or Tool B better described for Claude vs GPT-4o?"
• Benchmark your own tools against the 27,906+ in the database

Quick API example

import aisuite as ai
import requests

# Check tool quality before use
tool_quality = requests.get(
    'https://clarvia-api.onrender.com/v1/tools/my-tool/aeo'
).json()

if tool_quality['aeo_score'] >= 70:
    # High-quality tool, safe to use
    client = ai.Client()
    response = client.chat.completions.create(
        model='anthropic:claude-opus-4',
        messages=[{'role': 'user', 'content': 'Use the tool...'}],
        tools=[my_tool_def]
    )

Resources

• 🌐 https://clarvia.art (search 27,906+ tools)
• 📖 API: https://clarvia-api.onrender.com/docs
• 📦 npm: clarvia-mcp-server (1,490 weekly downloads)

Thanks!