Update DataAgentToolset credentials to use cloud-platform scope instead of bigquery

[pemujo]

Description
The DataAgentToolset in the ADK is set to use the BigQuery scope by default (https://www.googleapis.com/auth/bigquery).
However, to successfully list and interact with data agents via the Data Analytics with Gemini API, the BigQuery scope is insufficient. When the agent is deployed to Vertex AI Agent Engine, this restriction causes unauthorized errors even if the attached Service Account has the correct IAM roles.

Steps to Reproduce:

1. Use the DataAgentToolset to call list_accessible_data_agents.
2. Deploy the agent to Vertex AI Agent Engine using the adk deploy agent_engine command.
3. Observe the permission error in the Agent Engine Playground. (See screenshot)

Expected Behavior:
The credentials should default to the https://www.googleapis.com/auth/cloud-platform scope because there is no specific scope for the Data Analytics with Gemini API.

Environment Details:

• ADK Library Version: 1.27.4
• Desktop OS: Linux / Vertex AI Agent Engine
• Python Version: 3.10+

Model Information:

• Are you using LiteLLM: No
• Which model is being used: gemini-2.5-flash

How often has this issue occurred?:
Always (100%)

---

🟡 Optional Information

Current code (Line 20 on adk/tools/data_agent/credentials.py)

credentials, _ = google.auth.default(
scopes=["https://www.googleapis.com/auth/bigquery"]
)

Proposed Fix

credentials, _ = google.auth.default(
scopes=["https://www.googleapis.com/auth/cloud-platform"]
)

[klateefa]

@pemujo The issue is because it is using bigquery scope, which is not enough.
Even if permissions are correct, it still gives error because the scope is limited.
Use cloud-platform scope instead:

credentials, _ = google.auth.default(
    scopes=["https://www.googleapis.com/auth/cloud-platform"]
)

could you give this a try and let me know if the issue is still happening?
Thank you.