Microsoft Foundry Tools Skill

This skill provides expert guidance for Microsoft Foundry Tools. Covers 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
Best Practices	L35-L40	Improving Content Understanding accuracy, document extraction quality, and using confidence scores/grounding to make extractions more reliable and trustworthy
Decision Making	L41-L49	Guides for choosing and comparing Foundry/Content Understanding tools and modes, planning pricing, and migrating from preview to GA document processing APIs
Architecture & Design Patterns	L50-L54	Designing and configuring how Content Understanding analyzers are mapped to specific model deployments, including routing strategies and deployment architecture patterns.
Limits & Quotas	L55-L62	Quotas, limits, and supported languages for Content Moderator and Content Understanding, including image/list caps, usage constraints, and .NET sample considerations.
Security	L63-L67	Securing Foundry: auth methods, Entra-only access, keys/Key Vault, CMK encryption, DLP, VNet rules, API key rotation, Azure Policy and regulatory compliance configuration
Configuration	L68-L78	Configuring Foundry environments and resources: credentials, subdomains, ARM provisioning, logging, and detailed setup for Content Understanding analyzers, layouts, images, faces, and routing.
Integrations & Coding Patterns	L79-L93	Using Content Moderator and Content Understanding via REST/.NET: text/image/video moderation, term lists, multimodal analysis, and consuming Markdown/structured outputs

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 tool for document processing	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/choosing-right-ai-tool
Choose between Content Understanding standard and pro modes	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/standard-pro-modes
Compare Foundry vs 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
Map Content Understanding analyzers to model deployments	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
Review Content Understanding service quotas and limits	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits

Security

Topic	URL
Secure Content Understanding with keys and identities	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/secure-communications

Configuration

Topic	URL
Configure Content Understanding analyzers and parameters	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 classification and routing in Content Understanding Studio	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/classification-content-understanding-studio
Configure Standard and Pro tasks in Foundry classic	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/content-understanding-foundry-classic
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