MCP server for integrating with Meli (Mercado Libre) platform via OAuth
Single tool 'GetCountries' with severe quality gaps. The tool name does not follow verb_noun convention (should be 'get_countries' in lowercase snake_case). Source code provided does not show the actual tool definition, schema, or parameter documentation, only UI/component files and package.json. Unable to verify input schema, output schema, parameter descriptions, or error handling. The tool description in the header ('Fetches countries data from Meli API') is present but minimal (35 chars) and lacks context about when to use it, what data is returned, or pagination details. No evidence of structured output documentation. Cannot confirm if tool follows MCP SDK registration patterns or schema compliance.
Fetches countries data from Meli API
Tool source code (src/mcp/tools/GetCountries.ts) not provided for evaluation. Only UI components and package.json visible. Cannot verify input schema, parameter types, output structure, or implementation details.
Tool name 'GetCountries' violates naming convention. Should use lowercase snake_case (get_countries) per Arcade patterns. PascalCase names are not standard in MCP tool naming.
Tool description is minimal (35 characters) and lacks critical context: (1) What fields are returned? (2) Is there pagination? (3) When should this be called vs other discovery tools? (4) What is the expected use case?
No input schema visible. Cannot verify if parameters are typed, described, or constrained. Baseline requires all parameters to have type definitions and descriptions.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 29 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 24 | - | v1 |
No output schema documented. Tool description does not state what fields the response contains, preventing LLMs from planning downstream operations or extracting required data.
No pagination support mentioned. If this tool returns a list of countries, it should document limit, offset/page, and total count. Large result sets can blow context windows.
No error handling guidance visible. Tool description does not explain what happens on API failure, whether errors are retryable, or how to recover.