Unverified50% confidenceOpinionExact time
In large projects, the common reason for Agent failure is not poor documentation quality, but the inability to route from the current task to the relevant documents; even if the citation chain is formally connected, if there is no signpost bearing the current task's name along the path, then for an amnesiac Agent that document is as good as nonexistent.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMost Agent failures produce no error logs at all: the Agent does not crash, the workflow reports completion, and the output is structurally correct, but the content is wrong.79% similarUnverifiedMany Agent projects fail not because the technology cannot be built, but because from the very beginning it was not thought through whether the scenario truly requires an Agent.76% similarUnverifiedIn Agent scenarios, if the parameter schema of a tool call is generated based on incorrect table parsing results, it may cause downstream tasks to fail.74% similarUnverifiedError feedback refers to failure information flowing into the current task context so the Agent makes a different choice, but this does not mean the Agent learns permanently unless the system is deliberately designed to store and leverage this experience.72% similarUnverifiedGoing from demo to production involves engineering challenges such as cost control, latency optimization, error recovery, and observability, which is the root cause of many agent projects being unusable.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1045929API
curl https://kongchang.com/api/v1/knowledge/claims/1045929MCP
get_claim(id=1045929)