Microsoft Foundry Tools Skill
This skill provides expert guidance for Microsoft 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 | Troubleshooting steps and FAQs for Content Understanding features, including diagnosing model issues, configuration problems, and resolving common errors in content analysis workflows. |
| Best Practices | L41-L46 | Guidance on improving Content Understanding accuracy, grounding and confidence in document extraction, and migrating from preview to GA Content Understanding APIs. |
| Decision Making | L47-L54 | Guidance on choosing and migrating Azure AI/Foundry document processing and Content Understanding tools, plus estimating and planning their pricing. |
| Architecture & Design Patterns | L55-L59 | Guidance on choosing and configuring deployment options (serverless, managed, custom) for Content Understanding models, including trade-offs, scalability, and integration patterns. |
| Limits & Quotas | L60-L67 | Quotas, limits, and supported languages for Content Moderator image/list APIs and Content Understanding, plus .NET samples showing how to stay within list and usage limits. |
| Security | L68-L72 | Securing Azure Content Understanding analyzers and data: auth options, network isolation, encryption, access control, and best practices for protecting analyzer inputs/outputs. |
| Configuration | L73-L82 | Configuring and customizing Content Understanding analyzers (prebuilt and custom), document layout, face detection, and cross-resource capacity settings. |
| Integrations & Coding Patterns | L83-L97 | Using Content Moderator and Content Understanding via REST/.NET: text/image/video moderation, term lists, multimodal analysis, and consuming Markdown/structured outputs |
Troubleshooting
| Topic | URL |
|---|
| Troubleshoot and answer FAQs for Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/faq |
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 extraction 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 between Foundry and Content Understanding Studio features | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/foundry-vs-content-understanding-studio |
| Migrate Content Understanding from preview to GA APIs | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/migration-preview-to-ga |
| Estimate and plan Content Understanding pricing | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/pricing-explainer |
Architecture & Design Patterns
| Topic | URL |
|---|
| Select model deployment options for Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/models-deployments |
Limits & Quotas
| Topic | URL |
|---|
| Use Content Moderator image lists within quota limits | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-lists-quickstart-dotnet |
| Use supported languages in Content Moderator API | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/language-support |
| Apply Content Moderator .NET samples with list limits | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-dotnet |
| Content Understanding service quotas and limits reference | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits |
Security
| Topic | URL |
|---|
| Secure Azure Content Understanding analyzers and data | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/secure-communications |
Configuration
| Topic | URL |
|---|
| Configure and reference analyzers in Azure Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/analyzer-reference |
| Use and customize Content Understanding prebuilt analyzers | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/prebuilt-analyzers |
| Configure document layout analysis with Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/elements |
| Configure face detection and recognition in Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/face/overview |
| Configure cross-resource capacity for Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/bring-your-own-cross-resource-capacity |
| Build and refine custom analyzers in Content Understanding Studio | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/customize-analyzer-content-understanding-studio |
Integrations & Coding Patterns
| Topic | URL |
|---|
| Content Moderator REST API operations reference | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/api-reference |
| Integrate Content Moderator via .NET client library | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/client-libraries |
| Call Content Moderator image moderation APIs | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-moderation-api |
| Call Content Moderator REST APIs from C# samples | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-rest |
| Use .NET SDK term lists with Content Moderator | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/term-lists-quickstart-dotnet |
| Use Content Moderator text moderation APIs | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/text-moderation-api |
| Moderate video content using Content Moderator .NET SDK | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/video-moderation-api |
| Consume Content Understanding document Markdown output | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/markdown |
| Call Content Understanding REST API for multimodal data | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-rest-api |
| Create custom Content Understanding analyzers via REST API | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/create-custom-analyzer |
| Extract structured audiovisual content with Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/elements |
| Use audiovisual Markdown output from Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/markdown |
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