get_entry_parameters

shallow

io.github.YourLifewithAI/arcology-knowledge-node · Verify this server

Get quantitative parameters from knowledge entries. Use this for cross-domain consistency checking. Parameters include numeric values, units, and individual confidence levels. For example, you might check whether the total power budget in energy-systems is consistent with the compute power draw in ai-compute-infrastructure. Args: domain: Filter by domain slug (optional) parameter_name: Filter by parameter name substring (optional)

100.0/100

1 trials · measured 8 days ago

get_entry_parameters scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.YourLifewithAI/arcology-knowledge-node, measured 25 Aug 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
2026-08-25100.0shallowv0.2.0

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: get_entry_parameters
[![Vouch score](https://vouch.tools/api/tools/cd9c1b88-1da5-4f4c-a4a8-2d61658fdcc2/badge.svg)](https://vouch.tools/tools/cd9c1b88-1da5-4f4c-a4a8-2d61658fdcc2)
get_entry_parameters — Vouch