Agent Seer: Synthesizing Scenarios from Specification Understanding

This post provides an in-depth evaluation of the Agent Seer pipeline across seven MCP specifications, analyzing tool-calling correctness and conversational coherence. It identifies parameter schema complexity as the strongest correlate of quality variation and argument value accuracy as the dominant failure mode, offering a more granular understanding of the system's performance limitations and strengths.