get_taste_context
Retrieve aggregated expert feedback on explanation preferences to tailor AI presentations for specific audiences and business contexts.
Instructions
Retrieve organizational taste — what experts think good explanations look like.
Returns aggregated feedback from experts across business lines.
Use this to understand audience preferences before presenting results.
For example, if reliability engineers consistently rate explanations as
"too_technical", the LLM can adjust its presentation framing.
All filters are optional. Omit all for a full summary.
Args:
model_id: Filter to a specific model.
audience_role: Filter to a specific role (e.g., "reliability_engineer").
business_line: Filter to a specific business line (e.g., "lubricants").
tool_name: Filter to a specific tool (e.g., "explain_prediction").Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| model_id | No | ||
| audience_role | No | ||
| business_line | No | ||
| tool_name | No |