perplexityai/numbat

This issue exposes a critical documentation and feature clarity gap within Numbat's 'coverage matrix.' Operators require distinct visibility into three key aspects: pre-action blocking, subsequent decision telemetry mapping, and the presence of correlatable identifiers. Conflating these into a single 'enforcement' column creates ambiguity, hindering effective auditing and forensic analysis. For a product promising 'forensic reconstruction,' the inability to easily correlate a pre-action gate with a later decision or permission via a unique identifier significantly diminishes its value. This lack of granular insight complicates incident response and compliance reporting, impacting Numbat's market perception as a robust, auditable solution for AI agent governance. Clearer documentation and explicit feature separation are imperative.