Unverified50% confidenceTradeoffExact time
Switching search tools causes changes in the Agent's output format, which may require re-adjusting prompt templates and result parsing logic.
1
Sources
50%
Confidence
Long-term
Relevance
9/29/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedText search results filled with false positives can cause AI agents to modify the wrong code locations, miss call sites that must be updated in sync, or consume large numbers of tokens sifting through irrelevant results.67% similarUnverifiedRetrieval results from vector databases and search engines can change due to index updates and ranking algorithm adjustments.66% similarUnverifiedIn real agent systems, a single user query may trigger 3–10 or more search calls, further amplifying cost differences.65% similarUnverifiedAnti-scraping mechanisms change frequently, and building the capability to monitor changes in search page structure is more important than one-time hard-coding.65% similarUnverifiedIn Agentic scenarios, sources of error may include prompt design flaws, tool API return formats not matching expectations, information loss during multi-step reasoning, or gaps in the model's domain knowledge.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/960070API
curl https://kongchang.com/api/v1/knowledge/claims/960070MCP
get_claim(id=960070)