The skill
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 designing Content Understanding analyzers, RAG document flows, agentic workflows, REST/SDK calls, or Foundry deployments, and other Azure Content Understanding in Foundry Tools related development tasks. Not for Azure Speech in Foundry Tools (use azure-speech), Azure AI Search (use azure-cognitive-search), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Video Indexer (use azure-video-indexer).
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 tools, model deployments, and Studio vs Foundry, plus migration from preview to GA and estimating/optimizing Content Understanding costs. |
| 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 Azure Content Understanding costs |
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 |