updating transparency note

Author: aahill

articles/ai-foundry/responsible-ai/agents/transparency-note.md

@@ -7,7 +7,7 @@ ms.author: aahi
 manager: nitinme
 ms.service: azure-ai-agent-service
 ms.topic: article
-ms.date: 05/16/2025
+ms.date: 09/12/2025
 ---
 
 # Transparency Note for Azure Agent Service
@@ -110,7 +110,7 @@ Developers can connect an Agent to external systems, APIs, and services through
 * **Model Context Protocol tools** (a custom service connected via Model Context Protocol through an existing remote MCP server to an Agent).
 * **Deep Research tool**: (a tool that enables multi-step web-based research with the o3-deep-research model and Grounding with Bing Search.).
 * **Browser Automation Tool** (a tool that can perform real-world browser tasks through natural language prompts, enabling automated browsing activities without human intervention in the middle) 
-
+*  **Image Generation** (a tool to generate and edit images)
 
 #### Orchestrating multi-agent systems
 
@@ -131,7 +131,8 @@ Azure AI Agent Service is **flexible and use-case agnostic.** This presents mult
 * **Government: Citizen Request Triage and Community Event Coordination:** A city clerk uses an agent to categorize incoming service requests (for example, pothole repairs), assign them to the right departments, and compile simple status updates; officials review and finalize communications to maintain transparency and accuracy.
 * **Education: Assisting with Research and Reference Gathering:** A teacher relies on an agent to gather age-appropriate articles and resources from reputable sources for a planetary science lesson; the teacher verifies the materials for factual accuracy and adjusts them to fit the curriculum, ensuring students receive trustworthy content.
 * **Manufacturing: Inventory Oversight and Task Scheduling:** A factory supervisor deploys an agent to monitor inventory levels, schedule restocking when supplies run low, and optimize shift rosters; management confirms the agent’s suggestions and retains final decision-making authority.
-* **Deep research**: See the deep research section of the [Azure OpenAI transparency note](../openai/transparency-note.md#deep-research-use-cases) for examples of use cases for the deep research tool.
+* **Deep Research Tool**: Learn more about intended uses, capabilities, limitations, risks, and considerations when choosing a use case model with deep research technology in the [Azure OpenAI transparency note](../openai/transparency-note.md?tabs=text).
+* **Image Generation Tool**:  The Image Generation tool is empowered by the gpt-image-1 model.  Learn more about intended uses, capabilities, limitations, risks, and considerations when choosing a use case model in the [Azure OpenAI transparency note](../openai/transparency-note.md?tabs=image).
 
 Agent code samples have specific intended uses that are configurable by developers to carefully build upon, implement, and deploy agents. See [list of Agent code samples](/azure/ai-foundry/agents/overview#agent-catalog).