version: "1.0.1" name: azure-content-understanding description: Expert knowledge for Azure Content Understanding in Foundry Tools development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when building Content Understanding analyzers, RAG document flows, agentic workflows, REST/SDK calls, or GA migrations, and other Azure Content Understanding in Foundry Tools related development tasks. Not for Content Safety in Foundry Control Plane (use azure-content-safety), Azure Speech in Foundry Tools (use azure-speech), Azure AI Vision (use azure-ai-vision), Azure AI Document Intelligence (use azure-document-intelligence). compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation. metadata: generated_at: "2026-09-27" generator: "docs2skills/1.0.0"
Azure Content Understanding in Foundry Tools Skill
This skill provides expert guidance for Azure Content Understanding in Foundry Tools. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file
IMPORTANT for Agent: If
metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If
mcp_microsoftdocs tools are not available, suggest the user install it:
Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description | |
|---|
| Troubleshooting | L36-L40 | Using diagnostics from the Content Understanding REST API to investigate failures, interpret error codes, and troubleshoot processing or configuration issues. | |
| Best Practices | L41-L46 | Improving Content Understanding accuracy using layout, labels, and feedback, plus using confidence scores and grounding to validate and refine document analysis results. | |
| Decision Making | L47-L55 | Guidance on choosing Azure AI/Foundry tools, model deployments, and Studio vs Foundry; migrating Content Understanding from preview to GA; and estimating/optimizing pricing. | |
| Architecture & Design Patterns | L56-L62 | Guidance on when to use agentic mode, how to design RAG-based document solutions, and how to build RPA workflows using Azure Content Understanding. | |
| Limits & Quotas | L63-L68 | Guidance on safe use of synchronous Content Understanding calls plus detailed quotas, rate limits, and throughput constraints for Foundry Tools. | |
| Security | L69-L74 | Configuring security for Content Understanding: setting guardrails on analyzer outputs, securing analyzers and data, access control, and safe handling of sensitive content. | |
| Configuration | L75-L88 | Configuring and customizing Content Understanding analyzers, classifiers, workflows, and audiovisual/Markdown outputs, including creating, copying, and managing custom analyzers and Foundry resources. | |
| Integrations & Coding Patterns | L89-L94 | Patterns and code samples for calling Content Understanding via REST/SDKs, integrating with Microsoft Agent Framework/LangChain, and implementing agentic workflows. | |
Troubleshooting
| Topic | URL | |
|---|
| Use diagnostics from Content Understanding REST API | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/retrieve-diagnostics | |
Best Practices
| Topic | URL | |
|---|
| Apply best practices for Content Understanding accuracy | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/best-practices | |
| Improve document analysis with confidence and grounding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/analyzer-improvement | |
Decision Making
| Topic | URL | |
|---|
| Choose Azure AI tools for document processing | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/choosing-right-ai-tool | |
| Choose model deployments for Content Understanding analyzers | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/models-deployments | |
| Choose between Content Understanding Studio and Foundry | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/foundry-vs-content-understanding-studio | |
| Migrate Content Understanding from preview to GA | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/migration-preview-to-ga | |
| Estimate and optimize Content Understanding pricing | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/pricing-explainer | |
Architecture & Design Patterns
| Topic | URL | |
|---|
| Decide when to use agentic mode for documents | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/agentic-mode | |
| Design a RAG solution with Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/build-rag-solution | |
| Design RPA workflows using Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/robotic-process-automation | |
Limits & Quotas
| Topic | URL | |
|---|
| Use synchronous Content Understanding operations safely | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-synchronous-rest-api | |
| Review Content Understanding quotas and limits in Foundry Tools | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits | |
Security
| Topic | URL | |
|---|
| Configure guardrails for Content Understanding results | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/guardrails | |
| Secure Content Understanding analyzers and data | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/secure-communications | |
Configuration
| Topic | URL | |
|---|
| Configure and customize Content Understanding analyzers | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/analyzer-reference | |
| Configure Content Understanding classifier and splitting | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/classifier | |
| Interpret Content Understanding Markdown document output | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/markdown | |
| Configure classification and routing workflows in Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/classification-content-understanding-studio | |
| Copy custom analyzers within and across resources | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/copy-analyzers | |
| Create and manage Microsoft Foundry resources | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/create-multi-service-resource | |
| Build and refine custom analyzers in Studio | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/customize-analyzer-content-understanding-studio | |
| Create custom analyzers via Content Understanding REST API | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/create-custom-analyzer | |
| Configure audiovisual analysis and structured output | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/elements | |
| Use Markdown output for audiovisual content | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/markdown | |
Integrations & Coding Patterns
| Topic | URL | |
|---|
| Integrate Content Understanding with Microsoft Agent Framework | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/integrations/agent-framework | |
| Use Content Understanding as a LangChain document loader | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/integrations/langchain | |
| Call Content Understanding REST APIs and SDKs | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-rest-api | |