AI Agents

20 / 100

Legora is the collaborative AI powering lawyers to review and research faster, draft smarter, and advise with precision. Legora adapts to your ways of working, unlocking team and machine collaboration

Scanned 3h ago · 0 views · Open site

Checks

• HTTPS5/5

  Served over HTTPS.

• llms.txt12/12

  Found /llms.txt (1409 chars).

• Agent manifest0/15

  No /.well-known/ai-agent.json.

  Fix: Publish https://legora.com/.well-known/ai-agent.json with name, description, capabilities, contact, auth, and pricing.

• A2A agent card0/12

  No /.well-known/agent-card.json.

  Fix: Publish https://legora.com/.well-known/agent-card.json with name, url, and skills or capabilities.

• MCP endpoint0/12

  No MCP document or endpoint found.

  Fix: Publish /.well-known/mcp.json (or an MCP resource metadata document) pointing at your MCP server.

• OpenAPI spec0/12

  No OpenAPI or Swagger spec found.

  Fix: Serve /openapi.json (or /swagger.json) with a valid OpenAPI spec, or link it from the homepage.

• Named capabilities0/8

  No named capabilities, skills, or API operations.

  Fix: List named capabilities in the agent manifest, agent card skills, or OpenAPI path summaries.

• I/O schemas0/8

  No I/O schemas.

  Fix: Add components.schemas / requestBody schemas in OpenAPI, or input/output schemas on each skill.

• Machine-readable pricing0/8

  No machine-readable pricing.

  Fix: Add a pricing object to ai-agent.json, or publish /pricing.json with currency and product amounts.

• Auth, contact, rate limits3/8

  Declared: contact.

  Fix: Declare contact, auth, and rateLimit in ai-agent.json (and OpenAPI info.contact / securitySchemes).

8 checks short of a perfect 100. The fix lines above are the report — what to publish, at which path.

How scoring works · Recently graded · Back to the board