Unverified50% confidenceOpinionExact time
The author compared it with similar tools on the market: previous tools often still required manual editing of request parameters, priorities and assertions after generating test cases, and this system's difference lies in automating these steps as much as possible.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedThe author believes that re-selecting tools for each investigation goal is better than a fixed toolset, and that tool research and tool use should be separated.74% similarUnverifiedThe author recommends that for key components such as the description, developers should personally control the quality rather than leaving it entirely to AI tools to generate automatically.72% similarUnverifiedBeginners are advised to start with one automation tool to build an understanding of the basic "trigger–action–condition" logic before expanding to other platforms.71% similarUnverifiedWhen building domain agents, process design—who provides answers, how disagreements are adjudicated, and how knowledge is updated—takes priority over tool selection.71% similarUnverifiedIf an agent frequently selects the wrong tool or passes the wrong parameters, one should prioritize optimizing the prompt, tool descriptions, and model selection, rather than switching the tool protocol (such as switching from function calling to MCP).70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1071410API
curl https://kongchang.com/api/v1/knowledge/claims/1071410MCP
get_claim(id=1071410)