has_arco

shallow

io.github.rpconroy/gdex-mcp · Verify this server

Check whether Analysis-Ready Cloud-Optimized (ARCO) data is available for a dataset. For analysis tasks, call this (and check for a "Kerchunk Reference Files" group via get_file_groups) before reaching for raw data files — reading through ARCO/kerchunk references avoids downloading whole files just to subset them. When picking among kerchunk reference variants, always use the one with "-osdf" in its name (see get_arco_variables) — other variants' chunk targets can be internal paths that only resolve on NCAR's network. Open it with xr.open_dataset(url, engine="kerchunk", storage_options={"remote_protocol": "https", "lazy": True}) rather than hand-building an fsspec reference filesystem. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002

100.0/100

1 trials · measured 1 day ago

has_arco scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.rpconroy/gdex-mcp, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
open
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: has_arco
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has_arco — Vouch