Quality and performance improvements

Problem

Agent interactions via the MCP server suffer from quality and performance issues that directly impact the user experience: tool-call latency is variable and sometimes exceeds agent timeout thresholds, rendered dashboards occasionally contain layout or data errors that the agent cannot detect, and prompt-guided workflows produce inconsistent results across different LLM providers. These issues are known anecdotally but lack measurement — there are no benchmarks for tool-call p50/p95 latency, no quality scores for agent-generated dashboards, and no A/B framework for comparing prompt strategies. Without measurable baselines and targeted improvements tied to user-facing outcomes, quality work is unfocused and unverifiable.

Context

Possible Solutions

Plan

Implementation Progress

Review Feedback

• Review cleared