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version: "1.0.1" name: microsoft-foundry-tools description: Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Content Moderator, Content Safety, Content Understanding analyzers, REST/.NET APIs, or document extraction workloads, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local). compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation. metadata: generated_at: "2026-06-28" generator: "docs2skills/1.0.0"

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-L55	Guidance for choosing and migrating between Azure AI/Foundry content tools (Content Moderator, Content Safety, Content Understanding), including feature comparisons and pricing/usage planning.
Architecture & Design Patterns	L56-L60	Guidance on choosing and configuring deployment options (serverless, managed, custom) for Content Understanding models, including trade-offs, scalability, and integration patterns.
Limits & Quotas	L61-L68	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	L69-L73	Securing Azure Content Understanding analyzers and data: auth options, network isolation, encryption, access control, and best practices for protecting analyzer inputs/outputs.
Configuration	L74-L83	Configuring and customizing Content Understanding analyzers (prebuilt and custom), document layout, face detection, and cross-resource capacity settings.
Integrations & Coding Patterns	L84-L98	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
Migrate Azure Content Moderator workloads to Content Safety	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/content-moderator
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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