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Every AdCP response includes a status field that tells you exactly what state the operation is in and what action you should take next. This is the foundation for handling any AdCP operation. :::note Application-layer task state The status values and lifecycle described here are transport-independent AdCP application state. MCP and A2A task mechanisms may wrap, stream, or deliver an AdCP response, but they do not replace AdCP’s task_id, webhook payloads, or polling/reconciliation surfaces. For submitted operations, observe the AdCP task with push notifications or the AdCP polling surface. In 3.x, that polling surface is legacy tasks/get, with optional get_task_status when the seller advertises the alias. Transport-native MCP/A2A tasks/* methods use their own wire shapes and are separate from AdCP task polling. :::

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Status Values

AdCP uses the same status values as the A2A protocol’s TaskState enum:
StatusMeaningYour Action
submittedTask queued, blocked on external dependencyConfigure webhook, show “queued” indicator
workingAgent actively processing (>30s)Wait for result — out-of-band progress signal, not a polling trigger
input-requiredNeeds information from youRead message field, prompt user, send follow-up
completedSuccessfully finishedProcess data, show success message
canceledUser/system canceled taskShow cancellation notice, clean up
failedError occurredShow error from message, handle gracefully
rejectedAgent rejected the requestShow rejection reason, don’t retry
auth-requiredAuthentication neededPrompt for auth, retry with credentials
unknownIndeterminate stateLog for debugging, may need manual intervention

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Response Structure

Every AdCP response uses a flat structure where task-specific fields are at the top level: 
{
  "status": "completed",           // Always present: what state we're in
  "message": "Found 5 products",   // Always present: human explanation
  "context_id": "ctx-123",         // Session continuity
  "context": {                     // Application-level context echoed back
    "ui": "buyer_dashboard"
  },
  "products": [...]                // Task-specific fields at top level
}
:::warning Single status field required Agents MUST NOT emit the legacy task_status or response_status fields alongside status. The status field is the single authoritative task state. Agents emitting either alongside status are non-conformant. :::

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Status Handling

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Basic Pattern

function handleAdcpResponse(response) {
  switch (response.status) {
    case 'completed':
      // Success - process the data (task fields are at top level)
      showSuccess(response.message);
      return processData(response);

    case 'input-required':
      // Need more info - prompt user
      const userInput = await promptUser(response.message);
      return sendFollowUp(response.context_id, userInput);

    case 'working':
      // Server is actively processing — just wait, result will arrive
      showProgress(response.message);
      return response;

    case 'failed':
      // Error - show message and handle gracefully
      showError(response.message);
      return handleError(response.errors);

    case 'auth-required':
      // Authentication needed
      const credentials = await getAuth();
      return retryWithAuth(credentials);

    default:
      // Unexpected status
      console.warn('Unknown status:', response.status);
      showMessage(response.message);
  }
}

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Clarification Flow

When status is input-required, the message tells you what’s needed: 
{
  "status": "input-required",
  "message": "I need more information about your campaign. What's your budget and target audience?",
  "context_id": "ctx-123",
  "products": [],
  "suggestions": ["budget", "audience", "timing"]
}
Client handling: 
if (response.status === 'input-required') {
  // Extract what's needed from the message
  const missingInfo = extractRequirements(response.message);

  // Prompt user with specific questions
  const answers = await promptForInfo(missingInfo);

  // Send follow-up with same context_id
  return sendMessage(response.context_id, answers);
}

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Approval Flow

Human approval at the task layer is modelled as input-required (when the buyer must respond, e.g. confirm a budget) or submitted (when the seller is waiting on an internal human, e.g. IO signing). These implement the Embedded Human Judgment principle that judgment cannot be delegated to software — when an action exceeds autonomous authority, the system halts for human review rather than proceeding.
pending_approval is an Account status, not a task status and not a MediaBuy status. It indicates the seller is reviewing an account (credit, contracts) before it can be used. Don’t reuse the name for task-level approval. 
{
  "status": "input-required",
  "message": "Media buy exceeds auto-approval limit ($100K). Please approve to proceed with campaign creation.",
  "context_id": "ctx-123",
  "approval_required": true,
  "amount": 150000,
  "reason": "exceeds_limit"
}
Client handling: 
if (response.status === 'input-required' && response.approval_required) {
  // Show approval UI
  const approved = await showApprovalDialog(response.message, response);

  // Send approval decision
  const decision = approved ? "Approved" : "Rejected";
  return sendMessage(response.context_id, decision);
}

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Operations Over 30 Seconds

Operations that take longer than 30 seconds return either working or submitted. These statuses mean different things:
  • working: The server is actively processing and will deliver the result when ready. No polling needed — the server sends progress out-of-band and the result arrives on the open connection.
  • submitted: The operation is blocked on an external dependency (human approval, publisher review). Configure a webhook or poll.
{
  "status": "submitted",
  "message": "Media buy submitted for publisher approval",
  "context_id": "ctx-123",
  "task_id": "task-456"
}
Handling for submitted operations:
  • All transports: Use push notifications (recommended) or poll the AdCP task with get_task_status / legacy tasks/get.
  • MCP/A2A transport tasks: Treat native task state as transport state. A native task can finish once it has delivered an AdCP payload that still says status: 'submitted'.

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Status Progression

Tasks progress through predictable states: 
submitted → working → completed
    ↓          ↓         ↑
input-required → → → → →
    ↓
  failed
  • submitted: Task queued, blocked on external dependency — configure webhook or poll
  • working: Agent actively processing (>30s) — wait for result, no polling needed
  • input-required: Need user input, continue conversation
  • completed: Success, process results
  • failed: Error, handle appropriately

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Polling and Timeouts

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Polling is for submitted only

Don’t poll for working — the server delivers the result on the open connection. Polling is a backup for submitted operations (webhooks are preferred). Send include_result: true to receive the terminal task payload on the polled response once the task reaches status: completed. The result object on the response carries the same shape the original task would have returned synchronously — for example, polling a create_media_buy task returns result: { media_buy_id, packages, status }. For failed tasks, read the existing error field instead. Webhooks remain the supported delivery mechanism (see Push Notifications); include_result is the typed polling alternative for buyers that prefer pull over push. 
// Polling is only for 'submitted' operations
async function pollForResult(taskId, pollInterval = 30_000) {
  while (true) {
    await sleep(pollInterval);

    const response = await adcp.call('get_task_status', {
      task_id: taskId,
      include_result: true
    });

    if (['completed', 'failed', 'canceled'].includes(response.status)) {
      // response.result carries the terminal payload when status === 'completed'
      // response.error carries error details when status === 'failed'
      return response;
    }
  }
}

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Timeout Configuration

const TIMEOUTS = {
  sync: 30_000,         // 30 seconds — most operations complete here
  working: 300_000,      // 5 minutes — connection timeout for active processing
  interactive: 300_000,  // 5 minutes for human input
  submitted: 86_400_000  // 24 hours for external dependencies
};

function getTimeout(status) {
  if (status === 'submitted') return TIMEOUTS.submitted;
  if (status === 'working') return TIMEOUTS.working;
  if (status === 'input-required') return TIMEOUTS.interactive;
  return TIMEOUTS.sync;
}

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Task Reconciliation

Use list_tasks (or legacy tasks/list in 3.x) to recover from lost state: 
// Find all pending operations
const pending = await session.call('list_tasks', {
  filters: {
    statuses: ["submitted", "working", "input-required"]
  }
});

// Reconcile with local state
const missingTasks = pending.tasks.filter(task =>
  !localState.hasTask(task.task_id)
);

// Resume tracking missing tasks
for (const task of missingTasks) {
  startPolling(task.task_id);
}

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Best Practices

  1. Always check status first - Don’t assume success
  2. Handle all statuses - Include a default case for unknown states
  3. Preserve context_id - Required for conversation continuity
  4. Use task_id for tracking - Especially for long-running operations
  5. Implement timeouts - Don’t wait forever
  6. Log status transitions - Helps with debugging and auditing

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Next Steps

  • Async Operations: See Async Operations for handling different operation types
  • Webhooks: See Webhooks for push notification patterns
  • Error Handling: See Error Handling for error categories and recovery