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[Tool Description] Improve Foundry tool description for better LLM selection #836

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[Tool Description] Improve Foundry tool description for better LLM selection #836

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Copilot Aug 4, 2025
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Update Foundry tool description for better LLM selection
Copilot Aug 4, 2025
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2 changes: 1 addition & 1 deletion areas/foundry/src/AzureMcp.Foundry/FoundrySetup.cs
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Expand Up @@ -19,7 +19,7 @@ public void ConfigureServices(IServiceCollection services)

public void RegisterCommands(CommandGroup rootGroup, ILoggerFactory loggerFactory)
{
var foundry = new CommandGroup("foundry", "Foundry service operations - Commands for listing and managing services and resources in AI Foundry.");
var foundry = new CommandGroup("foundry", "Foundry service operations - Commands for listing and managing Azure AI Foundry services and resources including AI models, endpoints, deployments, and workspace configurations. Use this tool when you need to work with Azure AI Foundry projects, list available AI models, manage model deployments, configure AI endpoints, or query AI workspace resources and settings. This tool is designed for AI and machine learning workflow management within Azure AI Foundry environments. Do not use this tool for general Azure AI services outside of Foundry, Azure Machine Learning studio operations, or Azure OpenAI direct management - this tool specifically targets Azure AI Foundry service operations. This tool is a hierarchical MCP command router where sub-commands are routed to MCP servers that require specific fields inside the \"parameters\" object. To invoke a command, set \"command\" and wrap its arguments in \"parameters\". Set \"learn=true\" to discover available sub-commands for different AI Foundry operations and resource types.");

Copilot AI Aug 4, 2025

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This extremely long string literal (1,091 characters) should be extracted to a constant or broken into multiple concatenated strings for better readability and maintainability. Consider using a multi-line string with proper formatting.

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var foundry = new CommandGroup("foundry", "Foundry service operations - Commands for listing and managing Azure AI Foundry services and resources including AI models, endpoints, deployments, and workspace configurations. Use this tool when you need to work with Azure AI Foundry projects, list available AI models, manage model deployments, configure AI endpoints, or query AI workspace resources and settings. This tool is designed for AI and machine learning workflow management within Azure AI Foundry environments. Do not use this tool for general Azure AI services outside of Foundry, Azure Machine Learning studio operations, or Azure OpenAI direct management - this tool specifically targets Azure AI Foundry service operations. This tool is a hierarchical MCP command router where sub-commands are routed to MCP servers that require specific fields inside the \"parameters\" object. To invoke a command, set \"command\" and wrap its arguments in \"parameters\". Set \"learn=true\" to discover available sub-commands for different AI Foundry operations and resource types.");
var foundry = new CommandGroup("foundry", FoundryServiceOperationsDescription);

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@vcolin7 vcolin7 Aug 11, 2025

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@copilot The description character count should be at most 1024 characters long. Please make it a bit shorter while keeping the meaning and main concepts as intact as possible.

rootGroup.AddSubGroup(foundry);

var models = new CommandGroup("models", "Foundry models operations - Commands for listing and managing models in AI Foundry.");
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