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ERA5 SMI

by leandroavl
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct data source or processing step: inspect_netcdf for inspection, the fetch tools are differentiated by time resolution (hourly vs monthly mean) and data type (pressure levels, single levels, land soil moisture), and extract_point_timeseries is the only output-writing tool. There is no meaningful overlap between tool purposes.

    Naming Consistency4/5

    The naming follows a consistent snake_case verb_noun pattern, with fetch_era5_* clearly grouped by data type and time resolution. Minor deviation: tools without 'hourly' are implicitly monthly mean (e.g., fetch_era5_pressure_levels), which is not explicitly reflected in the name, and inspect/extract use generic verbs rather than the fetch_ prefix.

    Tool Count5/5

    Seven tools cover the full data-preparation workflow for the ERA5 SMI pipeline: inspection, downloading multiple ERA5 variants, and extracting point timeseries. The count is well-scoped, not bloated or sparse, and each tool has a clear role.

    Completeness4/5

    The tool surface covers the main data types (pressure levels, single levels, land soil moisture) in both hourly and monthly resolutions, plus inspection and extraction. Minor gaps: there is no tool for directly listing available variables or fetching ERA5-Land hourly soil moisture, but these are not critical given the stated SMI focus.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources