Unverified50% confidenceOpinionExact time
A purely exploratory Agent can only identify interface controls and cannot judge whether a button should be clicked in the current business scenario, so when a task implies business rules it is prone to operations that violate business conventions.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Qt App Automation Testing: Injecting Business Knowledge into Agents with Skills
bilibili聆播科技10/19/2026
Related Entities
Related Claims
UnverifiedAPI keys and tokens carry almost no information about what the Agent was asked to do, who assigned it, or how the task reached the Agent, resulting in permissions that are static and pre-configured while tasks are dynamic and contextual.75% similarUnverifiedGeneral-purpose execution Agents rely on visual recognition plus simulated clicks or open third-party APIs, but face uncertainties such as interface changes, CAPTCHAs, and risk-control interception; closed-loop Agents within an ecosystem directly call the underlying interfaces of their own services, bypassing the graphical interface, executing faster and more stably, but their capabilities are limited to their own service matrix.73% similarVerifiedEmbedded agents fundamentally rely on the host product's API completeness; if a feature has no corresponding callable interface, the agent cannot execute on behalf of the user.72% similarUnverified在持有真实登录态的场景下，Agent操作等同于以用户身份在网站上行动，网站无法区分手动操作还是Agent自动化行为71% similarUnverifiedIn agent scenarios, idempotency guarantees cannot rely solely on caller discipline; they must be enforced at the Tool Layer or operating system interface layer.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1067709API
curl https://kongchang.com/api/v1/knowledge/claims/1067709MCP
get_claim(id=1067709)