goodearth_calibration

shallow

io.github.lonniev/goodearth-mcp · Verify this server

Turn a block's own field reports into a correction on the model. Every other tool here answers from a 9 km grid refined by a physical terrain model. What that cannot know is the part that makes a farm particular — the hedgerow, the pond, the outlet the cold air drains through. Your observations measure exactly that gap. Returns two corrections, kept separate because they fix different things: a bias in *heat* from crop stages (this ground accumulates more or less than the grid credits) and a bias in *days* from observed frost (this ground frosts earlier or later than the region). Nothing is applied silently. A correction appears only once several observations agree, implausible values are set aside rather than averaged in, and the reports behind every figure come back with it.

100.0/100

1 trials · measured 21 days ago

goodearth_calibration scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.lonniev/goodearth-mcp, measured 16 Sept 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
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-09-16100.0shallowv0.2.0

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: goodearth_calibration
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goodearth_calibration — Vouch