Unverified50% confidenceFactExact time
Agents run on timeout mechanisms; a tool that takes 9 seconds may be abandoned midway, and a tool that returns a 500 error causes the model to avoid that tool.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn multi-turn tool-calling agentic scenarios, system prompts occupying thousands of tokens compress the space available for intermediate reasoning steps and tool return results, and hitting the token limit causes task failure.76% similarUnverifiedAgentic systems often run continuously every minute via scheduled tasks, and combined with multiple rounds of model calls, tool call results being fed back in, and reflection steps, token costs escalate exponentially.74% similarUnverifiedAfter agents are successfully constrained to be on time, they still cannot utilize the extra time to improve task performance, often filling remaining time with repetitive actions.73% similarUnverifiedAI agents typically complete tool calls within milliseconds and proceed to the next step, unable to wait for the final result of asynchronous operations, making eventual consistency issues particularly prominent.72% similarUnverifiedA single execution-type agent exhibits three typical problems during long-running tasks: goal drift, shortcut-taking, and mid-task cessation71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1021106API
curl https://kongchang.com/api/v1/knowledge/claims/1021106MCP
get_claim(id=1021106)