ine-chile-mcp
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TDQS
Scored across 11 tools
Each tool has a distinct purpose with clear boundaries: codif_* tools handle classification and training data, datos_* tools manage dataset metadata and queries, inestat_* tools access statistical dataflows and structures, and simel_* tools focus on labor market indicators. There is no overlap in functionality, making tool selection unambiguous.
Tool names follow a consistent verb_noun pattern with a clear prefix system: codif_, datos_, inestat_, and simel_ indicate the domain, followed by descriptive actions like classify, get, query, search, and list. This structured naming makes the tool set predictable and easy to navigate.
With 11 tools, the server is well-scoped for its purpose of accessing INE Chile data across classification, datasets, statistics, and labor market indicators. Each tool serves a specific function, and the count is neither too sparse nor overwhelming for the domain coverage.
The tool set provides comprehensive coverage for interacting with INE Chile's data systems: classification (CAENES/CIUO), dataset metadata and queries (CKAN), statistical dataflows (INE.Stat), and labor market indicators (SIMEL). It supports full workflows from discovery to data retrieval, with no obvious gaps in the surface.