rb209-mcp
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TDQS
Scored across 94 tools
The set has many near-identical lookup families—e.g., at least four soil nutrient-index-by-value variants and multiple organic-material-type filters—so an agent must parse subtle parameter differences to avoid misselection. Singular/plural pairs and a deprecated endpoint duplicated by a country-aware version further blur boundaries.
All tools share a uniform `rb209_<area>_<resource>` snake_case pattern, which is predictable. However, naming is inconsistent at the resource level: `soil_nutrient_indices` vs `soil_nutrient_indexes` are both present, singular and plural forms are mixed, and some names are awkwardly long (`rb209_grass_growth_class_by_soil_type_rainfall_altitude_chalk`).
94 tools is an extreme tool count for an MCP server, far beyond the point where an agent can reliably choose. Many endpoints are trivial singular/plural pairs or filter variants that could be collapsed into parameterized tools, so this feels like a direct API surface dump rather than a curated tool set.
For the RB209 nutrient-recommendation domain, the tool surface is remarkably complete: it includes the main recommendation calculator plus lookups for crops, grass, soil, organic materials, rainfall, measurements, previous cropping, and fertiliser prices. There are no obvious dead-end workflows; even caveats around no-soil-analysis and country-specific paths are covered.