1---2name: microsoft-foundry-tools3description: 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).4---5# Microsoft Foundry Tools Skill
6
7This 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.
8
9## How to Use This Skill
10
11> **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
12
13> **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)
14
15This skill requires **network access** to fetch documentation content:
16- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.
17- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.
18
19## Category Index
20
21| Category | Lines | Description |
22|----------|-------|-------------|
23| 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. |
24| 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. |
25| 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. |
26| 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. |
27| 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. |
28| 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. |
29| Configuration | L74-L83 | Configuring and customizing Content Understanding analyzers (prebuilt and custom), document layout, face detection, and cross-resource capacity settings. |
30| 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 |
31
32### Troubleshooting
33| Topic | URL |
34|-------|-----|
35| Troubleshoot and answer FAQs for Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/faq |
36
37### Best Practices
38| Topic | URL |
39|-------|-----|
40| Apply best practices for Content Understanding accuracy | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/best-practices |
41| Improve document extraction with confidence and grounding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/analyzer-improvement |
42
43### Decision Making
44| Topic | URL |
45|-------|-----|
46| Migrate Azure Content Moderator workloads to Content Safety | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/content-moderator |
47| Choose Azure AI tools for document processing | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/choosing-right-ai-tool |
48| Choose between Foundry and Content Understanding Studio features | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/foundry-vs-content-understanding-studio |
49| 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 |
50| Estimate and plan Content Understanding pricing | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/pricing-explainer |
51
52### Architecture & Design Patterns
53| Topic | URL |
54|-------|-----|
55| Select model deployment options for Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/models-deployments |
56
57### Limits & Quotas
58| Topic | URL |
59|-------|-----|
60| Use Content Moderator image lists within quota limits | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-lists-quickstart-dotnet |
61| Use supported languages in Content Moderator API | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/language-support |
62| Apply Content Moderator .NET samples with list limits | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-dotnet |
63| Content Understanding service quotas and limits reference | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits |
64
65### Security
66| Topic | URL |
67|-------|-----|
68| Secure Azure Content Understanding analyzers and data | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/secure-communications |
69
70### Configuration
71| Topic | URL |
72|-------|-----|
73| Configure and reference analyzers in Azure Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/analyzer-reference |
74| Use and customize Content Understanding prebuilt analyzers | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/prebuilt-analyzers |
75| Configure document layout analysis with Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/elements |
76| Configure face detection and recognition in Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/face/overview |
77| 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 |
78| 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 |
79
80### Integrations & Coding Patterns
81| Topic | URL |
82|-------|-----|
83| Content Moderator REST API operations reference | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/api-reference |
84| Integrate Content Moderator via .NET client library | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/client-libraries |
85| Call Content Moderator image moderation APIs | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-moderation-api |
86| Call Content Moderator REST APIs from C# samples | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-rest |
87| Use .NET SDK term lists with Content Moderator | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/term-lists-quickstart-dotnet |
88| Use Content Moderator text moderation APIs | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/text-moderation-api |
89| Moderate video content using Content Moderator .NET SDK | https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/video-moderation-api |
90| Consume Content Understanding document Markdown output | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/markdown |
91| Call Content Understanding REST API for multimodal data | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-rest-api |
92| Create custom Content Understanding analyzers via REST API | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/create-custom-analyzer |
93| Extract structured audiovisual content with Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/elements |
94| Use audiovisual Markdown output from Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/markdown |
gabrielmoreira