Add Clarvia — MCP tool quality scanner for Agent Engine Optimization (AEO) #40

Resource Submission: Clarvia

Clarvia is an MCP server and API focused on Agent Engine Optimization (AEO) — the practice of ensuring tools are discoverable and usable by AI agents. It's directly relevant to context engineering as it measures and improves the quality of tool context that agents receive.

Relevance to Context Engineering

Context engineering isn't just about prompts — it's about the entire context available to an agent, including the tools it can use. Clarvia addresses a specific failure mode: poorly documented MCP tools that fail agents not because of logic errors, but because the context provided to the agent is insufficient for proper tool selection and invocation.

AEO scoring measures:

• Tool description completeness (can an agent understand what this tool does?)
• Parameter documentation quality (can an agent correctly invoke this tool?)
• Schema completeness (is the tool's interface machine-readable?)
• Discoverability (will an agent find this tool when it needs it?)

Suggested Sections

📊 Evaluation Paradigms → Context Quality Assessment

Tool-level context quality assessment: Clarvia provides AEO scoring for 27,843+ MCP tools

🛠️ Implementation → Tool Use and Function Calling

MCP quality analysis: clarvia.art — AEO scanner ensuring tools provide sufficient context for agent invocation

Access

• MCP server: npx clarvia-mcp-server (24 tools, works with Claude/Cursor/Cline)
• REST API: clarvia-api.onrender.com/docs (132 endpoints, OpenAPI 3.1)
• Web: clarvia.art

Links: clarvia.art | GitHub | npm