The inbound webhook from the Workato recipe is dropping the customer_tier field right before it hits the Data Action output mapping. The environment runs Genesys Cloud 2024-09 with the Workato Genesys Cloud connector v3.2.1. The Architect flow flow_8821a triggers on a specific IVR node, sends the call context to the /api/v2/integrations/dataactions/execute endpoint, and waits for the response. Sometimes the payload comes back completely empty. Other times it returns the correct JSON. This inconsistency broke the prod routing logic for three hours yesterday.
Connector configuration looks standard. OAuth client credentials are set up in Workato, and the scope covers integration:dataaction:execute plus integration:dataaction:read. The request body maps directly to the Data Action input contract. call_id, external_account, and customer_tier are all defined as strings in the Architect UI. Workato sends them as a flat JSON object. The logs show the request leaves the recipe at 14:02 CET, but the GC execution log marks a 500 Internal Server Error around 14:02:04. It’s not clear if the connector is truncating the payload or if the Data Action parser is choking on the nested structure.
The response payload just shows {“status”: “error”, “message”: “Invalid input contract mapping”, “trace_id”: “a1b2c3d4”}. Does the recipe need a retry step to handle the intermittent failures, or is the OAuth token expiring too fast? The execution trace doesn’t flag any validation warnings. Just a blank error message and a dropped field.
The WORKATO connector drops fields because the DATA ACTION schema isn’t locked down in the admin UI. Bypass the webhook and push CUSTOMER_TIER straight into the CONVERSATION ATTRIBUTES block before the engine touches it. Use this exact structure:
{
"context": {
"attributes": {
"CUSTOMER_TIER": "{{tier_value}}"
}
}
}
The suggestion above bypasses the webhook, which creates a residency conflict under GDPR Article 25. Don’t push the tier to conversation attributes. It’s better to keep the Workato flow active and add a schema validation step in the Data Action configuration. The field mapping requires exact typing. Use this JSON override:
{"mappings": {"customer_tier": "{{webhook_payload.tier}}"}}
[screenshot of validation node attached]
Audit logs stay compliant.
Problem
The Workato connector v3.2.1 silently strips any field that doesn’t match the exact casing and type defined in the Data Action inputSchema. Pushing it to conversation attributes or adding a generic validation step won’t fix the root parser mismatch. The GC Data Action endpoint expects a strict JSON schema upfront.
Code
{
"inputSchema": {
"type": "object",
"properties": {
"customer_tier": {
"type": "string",
"enum": ["gold", "silver", "bronze"]
}
},
"required": ["customer_tier"]
}
}
Error
Watch out for the silent field drop. When the schema omits type: "string" or the enum values don’t match the incoming payload exactly, the GC validation engine drops the key entirely before it ever hits the output mapping. Messy. You’ll see empty responses or 200 OKs with missing data. It’s a strict validator, not a flexible mapper. The Express middleware on the GC side just rejects the mismatched type without throwing a hard 400.
Question
Does the current Data Action config explicitly define customer_tier as a string with the exact enum values Workato sends, or is it relying on dynamic typing? Verify the schema definition.