tokonomix_rate_consensus
Rate the real-world usefulness of a consensus call (1–10) after the outcome is known, using the request_id from the original ask. Submit optional outcome and findings feedback for post-hoc validation.
Instructions
Rate a consensus call 1–10 on real-world usefulness, after you have seen the answer play out. The request_id is returned by tokonomix_consensus_ask in the billing breakdown line ( · request_id: ...) and in the x_council.request_id metadata field. Optional: helped_model credits the ONE model whose minority or blind-spot view actually helped (the red-thread blind-spot differentiator) — supply its bare slug (e.g. "gemini-2.5-pro"). Opt-in, no friction. Optional: note accepts up to 2000 chars of free text — it IS stored (admin-only, never returned to any caller, never shown publicly verbatim) and enriched by an EU-hosted model into the agent-source day/week/month summary, kept strictly separate from the human-feedback summary. Same privacy handling as the human free text. Optional feedback (INT-1882, accepted only when the platform feedback-loop is enabled): outcome (correct|wrong|partial) is the minimal always-useful signal; findings is the rich agent signal — the real/false split per severity bucket {high,medium,low}:{real,false}. The auto-scoring already counts the buckets; you supply only whether each was a TRUE catch or a FALSE positive. Sharing the full findings earns the review-discount once go-live (one model-call less on that round). Per-account dedup: one authoritative rating per request_id per account; re-submitting updates it (last-write-wins). Requires the same API key that made the original call. Feature-gated on the platform feedback-loop: when it is disabled the tool returns a clear "not enabled" message rather than an error.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| note | No | Optional free-text context (max 2000 chars). Stored admin-only, never returned to any caller and never shown publicly verbatim; enriched by an EU-hosted model into the agent-source day/week/month summary (kept separate from the human-feedback summary). Same privacy handling as the human free text. | |
| score | Yes | Usefulness score 1–10 (1 = not useful at all, 10 = extremely useful in practice). | |
| outcome | No | Optional (feedback-loop): did the consensus answer turn out correct, wrong, or partial in practice? The minimal validation signal — upgrades the call to high-confidence scoring. | |
| findings | No | Optional (feedback-loop, agent path): the requester real/false validation per severity bucket. Counts only — never finding text. Each count must not exceed the bucket count the call actually produced. | |
| request_id | Yes | The UUID of the consensus call to rate. Returned by tokonomix_consensus_ask. | |
| helped_model | No | Optional bare model slug of the one model whose minority view or blind-spot catch actually helped (e.g. "gemini-2.5-pro"). Blind-spot direct credit — opt-in. | |
| consensus_benefit | No | Your structured verdict on whether the council helped: caught_blind_spot / resolved_disagreement / raised_confidence / no_added_value / consensus_was_wrong. Replaces the old discarded free-text note with a privacy-safe categorical signal. Optional (feedback-loop, accepted only when the platform feedback-loop is enabled). |