map_to_taxonomy

shallow

io.github.Bahamas1717/aibvf-mcp · Verify this server

Map everyday business language to the canonical AI BVF values required by the scoring tools. CALL THIS when the user says customer service, procurement, banking, GenAI copilot or bureaucratic and the matching enum is not certain. Pass only the fields written in free text; each returns the canonical value, what it matched on, or null with suggestions. A null result requires the user to choose from the suggestions, because a plausible guess would change the score. Use list_taxonomy when the user needs every permitted value, then pass the mapped values into score_initiative, diagnose_process, get_benchmark or the portfolio tools. Pure deterministic lookup, no network, auth, or side effects.

100.0/100

1 trials · measured 2 days ago

map_to_taxonomy scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Bahamas1717/aibvf-mcp, measured 31 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 + stdio
Credential class
open
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-31100.0shallowv0.2.0

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: map_to_taxonomy
[![Vouch score](https://vouch.tools/api/tools/7a386466-ba67-47ac-9c6b-99068354802d/badge.svg)](https://vouch.tools/tools/7a386466-ba67-47ac-9c6b-99068354802d)
map_to_taxonomy — Vouch