Define the supported amount of work
An agent can extend a task through reasoning steps, model calls, tool chains and repeated attempts. Without deliberate limits, a small request can consume substantial time or resources. OWASP identifies denial-of-wallet and recursive tool abuse as runtime risks. Begin with a workload-specific definition of acceptable execution. A budget can include elapsed time, tool calls, depth, token use or other relevant resources. No one limit describes every task, and a low request count does not necessarily imply low cost or low impact.
Coordinate limits across components
The gateway, orchestrator, runtime and tool may each impose deadlines or retries. If those rules are unrelated, one user request can multiply into many downstream attempts. Document who owns the overall budget and how each stage consumes it. A local timeout does not cancel work automatically in another service. Bound retry behavior and inspect execution status where necessary. The intended policy should remain understandable under partial failure instead of depending on several independently configured defaults that happen to work during ordinary demonstrations.
Distinguish temporary failure from a denied action
A permission denial should not trigger repeated attempts to find a different route to the same prohibited capability. An unavailable service may justify a bounded retry, while an invalid request may need correction. Determine which errors are retryable and whether the operation can be repeated safely. OWASP recommends idempotency where possible and explicit duplicate confirmation when it is not. A model’s suggestion to try again is not enough authority to repeat a financial, destructive or externally visible action with uncertain status.
Use lifecycle controls for their actual purpose
AWS documents idle and maximum-lifetime settings for AgentCore compute. Those settings help manage resources, but a maximum instance lifetime is not a complete application spending policy or approval boundary. Work may call external services, resume or preserve durable state. Define the task-level behavior and reconcile it with the runtime’s platform limits. Record what happens when a boundary is reached: stop, pause, request review or report an incomplete result. Avoid presenting platform cleanup as proof that all business effects were cancelled.
Observe consumption without exposing secrets
Track useful resource measures, failures and outcomes at the appropriate task or tenant scope. OpenTelemetry’s GenAI guidance describes model and token telemetry while making full-content capture opt-in. Do not assume visibility requires retaining every prompt or tool result. Keep definitions and measurement boundaries clear. Estimated spending and final billing can differ, so distinguish them. Use alerts and enforcement together where appropriate; a dashboard warning alone does not prevent execution from continuing after an intended hard limit has been exceeded.
Evaluate overload and boundary behavior
Test loops, unavailable tools, repeated timeouts, concurrent work and the supported response to depleted budget. Include legitimate long-running tasks so controls do not merely block useful work. Record what can be recovered and who decides whether another attempt is justified. Runtime limits create value when they bound exposure and make incomplete work understandable. They are not guarantees that every accepted task will finish, cost exactly the estimate or remain safe simply because its execution stayed within a numerical cap.
Worked scenario: an unavailable data tool
An assistant repeatedly calls a temporarily unavailable reporting tool while also consuming model capacity. A bounded workflow should recognize the relevant error class, apply an approved retry policy and stop or escalate when its budget is exhausted. It should not change credentials, targets or tools merely to work around a denial. The hypothetical acceptance test should confirm the useful status shown to the user, the evidence retained and the handling of any request whose external outcome is uncertain. Counting attempts alone would not establish all of those behaviors.
