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If Amazon Bedrock rejects a conversation because a toolResult does not match a preceding tool request, check the serialized message history sent to the Converse API. Keep the assistant message containing the toolUse, then send the matching toolResult in a following user-role message with the same toolUseId. The application executes the tool and returns its result; Bedrock does not execute client-side tools for you.

Why Bedrock tool-result ordering errors happen

With client-side tool calling, the model asks the application to run a tool. The application runs it, adds the result to the conversation, and sends the updated conversation back so the model can continue. A result is therefore not a standalone message: it answers a specific tool-use request in the conversation history.

If the history omits or rearranges the assistant message that requested the tool, or the result does not carry the request’s identifier, Bedrock may be unable to correlate the two. The exact error wording and possible causes can differ by SDK, framework, model, and request path; inspect the actual request and exception rather than assuming one universal error string.

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What the valid Converse tool-use sequence looks like

  1. Your application sends a conversation to Bedrock.

  2. The assistant responds with a tool-use request. Preserve that assistant message in the conversation history.

  3. Your application executes the requested tool.

  4. Your application adds a user-role message containing the tool result. The result must include the toolUseId from the corresponding assistant tool-use request.

  5. Your application sends the updated conversation to Converse so the assistant can continue.

AWS’s client-side tool-use guide describes this application-managed cycle and demonstrates continuing the Converse request with tool results in a user message: Client-side tool use and tool-use code example.

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How to troubleshoot the request

  1. Log the final message array. Inspect the serialized history immediately before the SDK call, not just the framework’s internal conversation objects. The serialized request is what Bedrock receives.

  2. Find the assistant tool-use message. Confirm that the message containing the request is present and occurs before the result message. Do not discard it when adding the tool output.

  3. Match every result to its identifier. Compare each result’s toolUseId with the identifier in the tool-use request. Check for missing, altered, or mismatched values.

  4. Check all requested tools. If one assistant response requests several tools, ensure your orchestration collects and returns the corresponding results in a user message, following the AWS example. Confirm that none of the requests was dropped during execution or message construction.

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  5. Review framework transformations. If a library combines, filters, or rewrites messages, compare its output with the serialized request. Confirm that its transformations preserve the assistant request and the related result sequence.

  6. Verify the API and model configuration. Converse is a message-based interface with tool-use support for supported models, but supported formats and request details depend on the model and request path. Compare your request with the documentation for the API and model configuration you actually use: Inference using Converse API.

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What to change in your application

Build the next request from the existing conversation rather than replacing the assistant’s tool-use response with the tool output. Add the result as a user-role message and copy the matching toolUseId exactly. If your application handles multiple tool requests, make sure each result remains associated with its own request. Then inspect the final serialized history again before retrying.

This is a client-side orchestration issue to verify in the request path; AWS’s documented flow explains the expected sequence but does not establish one framework-specific cause for every ordering error.

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