microsoft-foundry-tools

# 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](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

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 |