fix links, add quotes

Author: diberry

articles/azure-mcp-server/tools/azure-bicep-schema.md

@@ -26,11 +26,11 @@ Gets the Bicep schema for the most recent apiVersion of an Azure resource. This
 
 Example prompts include:
 
-- **Get storage account schema**: Get me the Bicep schema for Microsoft.Storage/storageAccounts
-- **Find service properties**: How can I use Bicep to create an Azure OpenAI service?
-- **Check API version**: What's the latest apiVersion for Microsoft.KeyVault/vaults?
-- **Need schema help**: I'm creating a Bicep template for Microsoft.Cognitive/accounts
-- **Request schema guidance**: Show me the properties for Microsoft.Web/sites
+- **Get storage account schema**: "Get me the Bicep schema for Microsoft.Storage/storageAccounts"
+- **Find service properties**: "How can I use Bicep to create an Azure OpenAI service?"
+- **Check API version**: "What's the latest apiVersion for Microsoft.KeyVault/vaults?"
+- **Need schema help**: "I'm creating a Bicep template for Microsoft.Cognitive/accounts"
+- **Request schema guidance**: "Show me the properties for Microsoft.Web/sites"
 
 | Parameter | Required or optional | Description |
 |-----------|-------------|-------------|
@@ -41,5 +41,4 @@ Example prompts include:
 - [What are the Azure MCP Server tools?](index.md)
 - [Get started using Azure MCP Server](../get-started.md)
 - [Azure Bicep documentation](/azure/azure-resource-manager/bicep/)
-- [Azure Resource Manager template reference](/azure/templates/)
-- [Infrastructure as code in Azure](/azure/developer/terraform/infrastructure-as-code)
+- [Azure Resource Manager template reference](/azure/templates/)

articles/azure-mcp-server/tools/azure-foundry.md

@@ -26,12 +26,12 @@ Lists all available AI models in Azure AI Foundry. Use this command to view all
 
 Example prompts include:
 
-- **View all models**: Show me all available AI models in Azure AI Foundry
-- **Filter by free usage**: List all free models available for prototyping in Azure AI Foundry that I can use in the playground
-- **Filter by free usage**: List all free models available for prototyping in Azure AI Foundry
-- **Filter by publisher**: Show me models published by Microsoft in Azure AI Foundry
-- **Filter by license**: What models with Apache license are available in Azure AI Foundry?
-- **Search by name**: Find the llama model in Azure AI Foundry
+- **View all models**: "Show me all available AI models in Azure AI Foundry"
+- **Filter by free usage**: "List all free models available for prototyping in Azure AI Foundry that I can use in the playground"
+- **Filter by free usage**: "List all free models available for prototyping in Azure AI Foundry"
+- **Filter by publisher**: "Show me models published by Microsoft in Azure AI Foundry"
+- **Filter by license**: "What models with Apache license are available in Azure AI Foundry?"
+- **Search by name**: "Find the llama model in Azure AI Foundry"
 
 | Parameter | Required or optional | Description |
 |-----------|-------------|-------------|
@@ -48,11 +48,11 @@ Deploys an AI model to your Azure environment. Use this command to deploy select
 
 Example prompts include:
 
-- **Deploy with required parameters**: Deploy GPT-4 model in OpenAI format to my ai-services account in ai-projects resource group with subscription dev-subscription
-- **Specify deployment name**: Set up a deployment named text-embedding for the Ada embedding model in my AI services account with Standard SKU
-- **Include model version**: Deploy version 2 of Llama model from Meta to my Azure AI services account with scale capacity of 3
-- **Deploy to specific resource group**: Create a deployment named content-generation with GPT-4 model in my ai-central service in resource group ml-experiments
-- **Configure scaling**: Deploy Claude model to my Azure AI service with auto-scaling enabled and maximum capacity of 5
+- **Deploy with required parameters**: "Deploy GPT-4 model in OpenAI format to my ai-services account in ai-projects resource group with subscription dev-subscription"
+- **Specify deployment name**: "Set up a deployment named text-embedding for the Ada embedding model in my AI services account with Standard SKU"
+- **Include model version**: "Deploy version 2 of Llama model from Meta to my Azure AI services account with scale capacity of 3"
+- **Deploy to specific resource group**: "Create a deployment named content-generation with GPT-4 model in my ai-central service in resource group ml-experiments"
+- **Configure scaling**: "Deploy Claude model to my Azure AI service with auto-scaling enabled and maximum capacity of 5"
 
 | Parameter | Required or optional | Description |
 |-----------|-------------|-------------|
@@ -76,11 +76,11 @@ Lists all model deployments associated with a specific Azure AI Foundry endpoint
 
 Example prompts include:
 
-- **List deployments on production**: Show me all model deployments on my https://production-ai.openai.azure.com endpoint
-- **Check specific endpoint**: What models are currently deployed to the https://customer-service.cognitiveservices.azure.com endpoint?
-- **View regional deployments**: List all deployments in my https://eastus-ai-service.openai.azure.com endpoint
-- **Check deployment status**: Show me the status of all models deployed to our https://main-ai.openai.azure.com endpoint
-- **See active models**: What AI models are running on our https://aistudio-prod.cognitiveservices.azure.com endpoint right now?
+- **List deployments on production**: "Show me all model deployments on my https://production-ai.openai.azure.com endpoint"
+- **Check specific endpoint**: "What models are currently deployed to the https://customer-service.cognitiveservices.azure.com endpoint?"
+- **View regional deployments**: "List all deployments in my https://eastus-ai-service.openai.azure.com endpoint"
+- **Check deployment status**: "Show me the status of all models deployed to our https://main-ai.openai.azure.com endpoint"
+- **See active models**: "What AI models are running on our https://aistudio-prod.cognitiveservices.azure.com endpoint right now?"
 
 | Parameter | Required or optional | Description |
 |-----------|-------------|-------------|
@@ -93,4 +93,4 @@ Example prompts include:
 - [Get started using Azure MCP Server](../get-started.md)
 - [Azure AI Foundry documentation](/azure/ai-foundry/)
 - [Azure AI Services overview](/azure/ai-services/)
-- [Deploy and consume models](/azure/ai-services/deploy-and-consume-models)
+- [Deploy and consume models](/azure/ai-foundry/concepts/deployments-overview)

articles/azure-mcp-server/tools/azure-grafana.md

@@ -26,11 +26,11 @@ Lists all Azure Managed Grafana workspaces in your subscription. This command he
 
 Example prompts include:
 
-- **Show all workspaces**: Show me all Grafana workspaces in my subscription
-- **List monitoring resources**: What Grafana workspaces do I have available?
-- **Find visualization dashboards**: List all my Azure Managed Grafana resources
-- **Check workspace status**: Are there any Grafana workspaces in my dev subscription?
-- **Dashboard inventory**: I need to see all Grafana workspace resources in my account
+- **Show all workspaces**: "Show me all Grafana workspaces in my subscription"
+- **List monitoring resources**: "What Grafana workspaces do I have available?"
+- **Find visualization dashboards**: "List all my Azure Managed Grafana resources"
+- **Check workspace status**: "Are there any Grafana workspaces in my dev subscription?"
+- **Dashboard inventory**: "I need to see all Grafana workspace resources in my account"
 
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