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Why a missing response does not mean the action failed
A tool call crosses a boundary between the agent and another system. The remote system might complete a payment, send a message, or create a resource, then lose the connection or return a response that the agent never saves. After a crash or timeout, the agent may therefore know that it sent a request without knowing whether the service applied it.
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Blindly submitting the action again can create a duplicate. Amazon Builders’ Library explains that retries are safer when an API is designed to recognize a repeated request as the same intent. The key question is not simply whether the agent can retry; it is whether the tool can reliably distinguish a retry from a new request.
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What makes a retry safe?
Use idempotency when the tool supports it
Idempotency is a contract between the caller and the service: repeating the same logical operation should not repeat its side effect, and the service should return an equivalent prior result. As Malcolm Featonby’s Amazon Builders’ Library article, “Making retries safe with idempotent APIs,” puts it, “An idempotent operation is one where a request can be retransmitted or retried with no additional side effects, a property that is very beneficial in distributed systems.”
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For recovery to work, the idempotency key must identify the same logical intent every time that operation is retried. Keep the key and request parameters stable. A fresh key on each retry can make every attempt look like a new operation; reusing the old key with changed parameters may be rejected or handled in a provider-specific way.
Do not mistake identical parameters for identical intent
Two requests with the same parameters are not necessarily duplicates: a user might intentionally create two identical resources. Amazon Builders’ Library therefore recommends caller-provided request identifiers to convey intent, rather than relying only on matching request contents. It also describes recording the token atomically with the mutations it protects—a stronger guarantee than merely saving the token locally before making an unrelated external call.
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Understand the provider’s exact semantics
Idempotency behavior is not universal. The API contract determines which requests accept keys, how keys are scoped, how long they are retained, what happens when parameters differ, and whether a repeat returns the earlier result or an error.
- Stripe: Its API documentation says repeated requests with the same key return the first saved status and response body, including a 500 response. It also says keys may be removed once they are at least 24 hours old, and reusing a key with different parameters produces an error. The 24-hour detail and response behavior apply to Stripe’s API, not to tools generally. A replayed 500 is not, by itself, evidence that the intended side effect did not happen.
- AWS EC2: Many EC2 actions support idempotency through a client token, while some actions are idempotent by default. EC2’s guidance to use backoff for 500-series responses applies to idempotent requests; it is not a blanket retry rule for arbitrary tools.
- AWS Durable Execution SDK: Its documentation distinguishes at-least-once-per-retry from at-most-once-per-retry semantics and cautions: “Both semantics are per retry attempt. Neither guarantees the step runs exactly once across the entire workflow.” In particular, a retry strategy can execute a step again under at-most-once-per-retry semantics. Read the SDK’s retry and replay rules rather than treating either label as an end-to-end exactly-once guarantee.
How to recover after a crash or timeout
- Record the intent before dispatch. Persist a workflow execution ID, step ID, identity of the input, and call status. For a mutating operation, reserve one stable idempotency key for that logical invocation. These are implementation practices derived from the documented retry and request-identity semantics; the exact fields depend on the system.
- Send the request and save the result promptly. Store the response or durable operation identifier as soon as it is available. If the service runs work asynchronously and exposes a status endpoint, retain its operation ID so a restarted agent can query the same operation.
- Classify the persisted state after restart. If a result was saved, resume from it. If the record contains only an intent or an in-flight marker, mark the remote outcome as unknown. That local record cannot establish what the service did during the gap.
- Check status before creating another operation. Query the tool’s authoritative status endpoint or inspect the external state using a reliable correlation identifier. Follow the provider’s documentation for how to interpret a status, duplicate-request error, or missing record: those signals have different meanings across services.
- If retrying is supported, repeat the same request identity. Use the same idempotency key and the same parameters. Do not make a new key just because the agent restarted. In Stripe’s documented behavior, a repeated key returns the first saved result, even when that result is a 500; do not assume another provider behaves the same way.
- If the outcome remains ambiguous, stop automatic repetition. When the action has meaningful consequences and neither deduplication nor a trustworthy status check is available, present the uncertainty for review. Do not report success without evidence, and do not silently submit a second action.
- If a duplicate is confirmed, consider a deliberate correction. A compensating action—such as refunding or cancelling—has its own side effects. Give it its own idempotency and audit record where possible, and do not assume it perfectly reverses the original action.
Choose a recovery approach that fits the tool
These approaches can work together. A durable workflow checkpoint helps the agent resume, while a key or status query addresses uncertainty about the remote effect.
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| Approach | Use it when | Main limitation |
|---|---|---|
| Idempotency key | The provider accepts a stable key and deduplicates repeat requests. | Key scope, retention, parameter matching, and returned-result behavior vary by provider, as described in the AWS Durable Execution SDK and Stripe API documentation. |
| Status query or reconciliation | The provider exposes operation status, or authoritative external state can be inspected. | State may be eventually consistent or may not establish which caller created the effect; Amazon Builders’ Library and AWS Durable Execution guidance discuss status and request identity in their respective service contexts. |
| Durable workflow checkpoint | The workflow must resume without restarting steps whose results were saved. | A checkpoint alone cannot atomically commit an unrelated external side effect; replay semantics still matter, as AWS Durable Execution and AWS agent-orchestration guidance illustrate. |
| At-most-once attempt with no retry | A second attempt would be worse than leaving the operation unresolved. | It limits attempts but can leave the outcome unknown. AWS Durable Execution documentation says its semantics apply per retry attempt; no-retry behavior is required to limit an end-to-end step to one execution attempt. |
| Compensation | A duplicate effect is known and a meaningful corrective operation exists. | It is another side effect and may not reverse every consequence, as AWS agent-orchestration guidance describes. |
What to verify before enabling automatic retries
- Does the tool accept an idempotency key, client token, or other request identifier?
- Does a repeated request return the prior result, report a duplicate, or start new work?
- How long does the service retain deduplication records, and what happens after they expire?
- Must the key be scoped to a particular account, endpoint, or operation? What happens if parameters change?
- Can the agent query the operation by a durable identifier, and is the returned status authoritative enough for this decision?
- If a duplicate is confirmed, is there a safe compensating action, and how will that action itself be deduplicated and audited?
When those answers are missing, treat automatic replay as an unverified risk. Durable execution can preserve workflow progress, but a local checkpoint does not prove that an external service did—or did not—apply an operation while the agent was unavailable.
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