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https://github.com/microsoft/agent-framework.git
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Expose workflow as MCP Tool
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<AzureFunctionsVersion>v4</AzureFunctionsVersion>
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<OutputType>Exe</OutputType>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<!-- The Functions build tools don't like namespaces that start with a number -->
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<AssemblyName>WorkflowMcpTool</AssemblyName>
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<RootNamespace>WorkflowMcpTool</RootNamespace>
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</PropertyGroup>
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<ItemGroup>
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<FrameworkReference Include="Microsoft.AspNetCore.App" />
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</ItemGroup>
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<!-- Azure Functions packages -->
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<ItemGroup>
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<PackageReference Include="Microsoft.Azure.Functions.Worker" />
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<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
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<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
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<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
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<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
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</ItemGroup>
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<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
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<!--
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<ItemGroup>
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<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
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</ItemGroup>
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-->
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
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</ItemGroup>
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</Project>
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// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.Agents.AI.Workflows;
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namespace WorkflowMcpTool;
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internal sealed class TranslateText() : Executor<string, TranslationResult>("TranslateText")
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{
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public override ValueTask<TranslationResult> HandleAsync(
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string message,
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IWorkflowContext context,
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CancellationToken cancellationToken = default)
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{
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Console.WriteLine($"[Activity] TranslateText: '{message}'");
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return ValueTask.FromResult(new TranslationResult(message, message.ToUpperInvariant()));
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}
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}
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internal sealed class FormatOutput() : Executor<TranslationResult, string>("FormatOutput")
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{
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public override ValueTask<string> HandleAsync(
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TranslationResult message,
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IWorkflowContext context,
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CancellationToken cancellationToken = default)
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{
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Console.WriteLine("[Activity] FormatOutput: Formatting result");
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return ValueTask.FromResult($"Original: {message.Original} => Translated: {message.Translated}");
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}
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}
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internal sealed class LookupOrder() : Executor<string, OrderInfo>("LookupOrder")
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{
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public override ValueTask<OrderInfo> HandleAsync(
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string message,
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IWorkflowContext context,
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CancellationToken cancellationToken = default)
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{
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Console.WriteLine($"[Activity] LookupOrder: '{message}'");
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return ValueTask.FromResult(new OrderInfo(message, "Alice Johnson", "Wireless Headphones", Quantity: 2, UnitPrice: 49.99m));
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}
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}
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internal sealed class EnrichOrder() : Executor<OrderInfo, OrderSummary>("EnrichOrder")
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{
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public override ValueTask<OrderSummary> HandleAsync(
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OrderInfo message,
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IWorkflowContext context,
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CancellationToken cancellationToken = default)
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{
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Console.WriteLine($"[Activity] EnrichOrder: '{message.OrderId}'");
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return ValueTask.FromResult(new OrderSummary(message, TotalPrice: message.Quantity * message.UnitPrice, Status: "Confirmed"));
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}
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}
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internal sealed record TranslationResult(string Original, string Translated);
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internal sealed record OrderInfo(string OrderId, string CustomerName, string Product, int Quantity, decimal UnitPrice);
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internal sealed record OrderSummary(OrderInfo Order, decimal TotalPrice, string Status);
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// Copyright (c) Microsoft. All rights reserved.
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// This sample demonstrates how to expose a durable workflow as an MCP (Model Context Protocol) tool.
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// When using AddWorkflow with exposeMcpToolTrigger: true, the Functions host will automatically
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// generate a remote MCP endpoint for the app at /runtime/webhooks/mcp with a workflow-specific
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// tool name. MCP-compatible clients can then invoke the workflow as a tool.
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using Microsoft.Agents.AI.Hosting.AzureFunctions;
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using Microsoft.Agents.AI.Workflows;
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using Microsoft.Azure.Functions.Worker.Builder;
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using Microsoft.Extensions.Hosting;
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using WorkflowMcpTool;
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// Define executors
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TranslateText translateText = new();
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FormatOutput formatOutput = new();
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LookupOrder lookupOrder = new();
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EnrichOrder enrichOrder = new();
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// Build a simple workflow: TranslateText -> FormatOutput
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Workflow translateWorkflow = new WorkflowBuilder(translateText)
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.WithName("Translate")
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.WithDescription("Translate text to uppercase and format the result")
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.AddEdge(translateText, formatOutput)
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.Build();
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// Build a workflow that returns a POCO: LookupOrder -> EnrichOrder
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Workflow orderLookupWorkflow = new WorkflowBuilder(lookupOrder)
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.WithName("OrderLookup")
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.WithDescription("Look up an order by ID and return enriched order details")
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.AddEdge(lookupOrder, enrichOrder)
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.Build();
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using IHost app = FunctionsApplication
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.CreateBuilder(args)
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.ConfigureFunctionsWebApplication()
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.ConfigureDurableWorkflows(workflows =>
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{
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// Expose both workflows as MCP tool triggers.
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workflows.AddWorkflow(translateWorkflow, exposeStatusEndpoint: false, exposeMcpToolTrigger: true);
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workflows.AddWorkflow(orderLookupWorkflow, exposeStatusEndpoint: false, exposeMcpToolTrigger: true);
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})
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.Build();
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app.Run();
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# Workflow as MCP Tool Sample
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This sample demonstrates how to expose durable workflows as [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) tools, enabling MCP-compatible clients to invoke workflows directly.
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## Key Concepts Demonstrated
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- **Workflow as MCP Tool**: Expose workflows as callable MCP tools using `exposeMcpToolTrigger: true`
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- **MCP Server Hosting**: The Azure Functions host automatically generates a remote MCP endpoint at `/runtime/webhooks/mcp`
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- **String and POCO Results**: Shows workflows returning both plain strings and structured JSON objects
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## Sample Architecture
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The sample creates two workflows exposed as MCP tools:
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### Translate Workflow (returns a string)
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| Executor | Input | Output | Description |
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|----------|-------|--------|-------------|
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| **TranslateText** | `string` | `TranslationResult` | Converts input text to uppercase |
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| **FormatOutput** | `TranslationResult` | `string` | Formats the result into a readable string |
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### OrderLookup Workflow (returns a POCO)
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| Executor | Input | Output | Description |
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|----------|-------|--------|-------------|
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| **LookupOrder** | `string` | `OrderInfo` | Looks up an order by ID |
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| **EnrichOrder** | `OrderInfo` | `OrderSummary` | Adds computed fields (total price, delivery estimate) |
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## Environment Setup
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See the [README.md](../../README.md) file in the parent directory for complete setup instructions, including:
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- Prerequisites installation
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- Durable Task Scheduler setup
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- Storage emulator configuration
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For this sample, you'll also need [Node.js](https://nodejs.org/en/download) to use the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector).
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## Running the Sample
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1. **Start the Function App**:
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```bash
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cd dotnet/samples/04-hosting/DurableWorkflows/AzureFunctions/04_WorkflowMcpTool
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func start
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```
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2. **Note the MCP Server Endpoint**: When the app starts, you'll see the MCP server endpoint in the terminal output:
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```text
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MCP server endpoint: http://localhost:7071/runtime/webhooks/mcp
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```
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## Invoking Workflows via MCP Inspector
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1. Install and run the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector):
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```bash
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npx @modelcontextprotocol/inspector
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```
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2. Connect to the MCP server endpoint:
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- For **Transport Type**, select **"Streamable HTTP"**
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- For **URL**, enter `http://localhost:7071/runtime/webhooks/mcp`
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- Click the **Connect** button
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3. Click the **List Tools** button. You should see two tools: `Translate` and `OrderLookup`.
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4. Test the **Translate** tool (returns a plain string):
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- Select the `Translate` tool
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- Set `hello world` as the `input` parameter
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- Click **Run Tool**
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- Expected result: `Original: hello world => Translated: HELLO WORLD`
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5. Test the **OrderLookup** tool (returns a JSON object):
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- Select the `OrderLookup` tool
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- Set `ORD-2025-42` as the `input` parameter
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- Click **Run Tool**
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- Expected result: A JSON object containing order details such as `OrderId`, `CustomerName`, `Product`, `TotalPrice`, `EstimatedDelivery`, and `Status`
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You'll see the workflow executor activities logged in the terminal where you ran `func start`.
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{
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"version": "2.0",
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"logging": {
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"logLevel": {
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"Microsoft.Agents.AI.DurableTask": "Information",
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"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
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"DurableTask": "Information",
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"Microsoft.DurableTask": "Information"
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}
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},
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"extensions": {
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"durableTask": {
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"hubName": "default",
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"storageProvider": {
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"type": "AzureManaged",
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"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
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}
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}
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}
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}
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{
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"IsEncrypted": false,
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"Values": {
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"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
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"AzureWebJobsStorage": "UseDevelopmentStorage=true",
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"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
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}
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}
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@@ -48,3 +48,4 @@ $env:DURABLE_TASK_SCHEDULER_CONNECTION_STRING = "AccountEndpoint=http://localhos
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| [01_SequentialWorkflow](AzureFunctions/01_SequentialWorkflow/) | Sequential workflow hosted in Azure Functions |
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| [02_ConcurrentWorkflow](AzureFunctions/02_ConcurrentWorkflow/) | Concurrent workflow hosted in Azure Functions |
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| [03_WorkflowHITL](AzureFunctions/03_WorkflowHITL/) | Human-in-the-loop workflow hosted in Azure Functions |
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| [04_WorkflowMcpTool](AzureFunctions/04_WorkflowMcpTool/) | Workflow exposed as an MCP tool |
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