This MCP server has severe definition quality gaps. Tool descriptions are present but generic (averaging ~80 chars, below the 194-char baseline). Input schemas exist but lack proper type definitions for most parameters, many are declared as strings without format constraints, enums, or validation guidance. The 'getRoutes' tool accepts a bare 'body' object with no schema documentation. Error handling is absent, no recovery guidance, no categorization of retryable vs fatal errors. The 'generateJSON' tool is concerning: it returns raw LLM text without parsing/validation, placing burden on the caller. No tool has output schemas documented. Parameter descriptions are minimal (e.g., 'Chain identifier' for 'chain' param). No tool demonstrates idempotency markers, permission gates, or audit trail patterns. This is a test suite wrapper, not a production-grade agent tool.

• Add complete input schemas for all tools. For getRoutes, document the 'body' object structure with required/optional fields, types, and constraints. Use JSON Schema with $ref for reusable types (e.g., ChainId, TokenAddress).
• Document output schemas for each tool. Specify which fields are returned, their types, and which IDs/references are available for chaining (e.g., does getQuote return a route_id that getRoutes accepts?).
• Expand parameter descriptions to 50-150 chars. Include format hints: 'Chain ID (e.g., 1 for Ethereum, 137 for Polygon)' or 'Token address (0x... format) or symbol (e.g., USDC)'.
• Add error handling guidance. For each tool, document common failure modes and recovery steps: 'If token not found (404), try getTokens() to list available tokens' or 'Rate limited (429), retry after 60s'.
• Refactor generateJSON to return structured output. Parse the LLM response, validate it against a schema, and return {success: bool, data: object, error?: string}. Remove the burden from the caller.