/microsoft-foundry-tools

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](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 | |----------|-------|-------------| | 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