feat(aws): update spec

src/aws.ts

@@ -1355,6 +1355,12 @@ const completionSpec: Fig.Spec = {
         "AWS Marketplace Entitlement Service This reference provides descriptions of the AWS Marketplace Entitlement Service API. AWS Marketplace Entitlement Service is used to determine the entitlement of a customer to a given product. An entitlement represents capacity in a product owned by the customer. For example, a customer might own some number of users or seats in an SaaS application or some amount of data capacity in a multi-tenant database.  Getting Entitlement Records     GetEntitlements- Gets the entitlements for a Marketplace product",
       loadSpec: "aws/marketplace-entitlement",
     },
+    {
+      name: "marketplace-reporting",
+      description:
+        "The Amazon Web Services Marketplace GetBuyerDashboard API enables you to get a procurement insights dashboard programmatically. The API gets the agreement and cost analysis dashboards with data for all of the Amazon Web Services accounts in your Amazon Web Services Organization.  To use the Amazon Web Services Marketplace Reporting API, you must complete the following prerequisites:   Enable all features for your organization. For more information, see Enabling all features for an organization with Organizations, in the Organizations User Guide.   Call the service as the Organizations management account or an account registered as a delegated administrator for the procurement insights service. For more information about management accounts, see Tutorial: Creating and configuring an organization and Managing the management account with Organizations, both in the Organizations User Guide. For more information about delegated administrators, see Using delegated administrators, in the Amazon Web Services Marketplace Buyer Guide.   Create an IAM policy that enables the aws-marketplace:GetBuyerDashboard and organizations:DescribeOrganization permissions. In addition, the management account requires the organizations:EnableAWSServiceAccess and iam:CreateServiceLinkedRole permissions to create. For more information about creating the policy, see Policies and permissions in Identity and Access Management, in the IAM User Guide.  Access can be shared only by registering the desired linked account as a delegated administrator. That requires organizations:RegisterDelegatedAdministrator organizations:ListDelegatedAdministrators and organizations:DeregisterDelegatedAdministrator permissions.    Use the Amazon Web Services Marketplace console to create the AWSServiceRoleForProcurementInsightsPolicy service-linked role. The role enables Amazon Web Services Marketplace procurement visibility integration. The management account requires an IAM policy with the organizations:EnableAWSServiceAccess and iam:CreateServiceLinkedRole permissions to create the service-linked role and enable the service access. For more information, see Granting access to Organizations and Service-linked role to share procurement data in the Amazon Web Services Marketplace Buyer Guide.   After creating the service-linked role, you must enable trusted access that grants Amazon Web Services Marketplace permission to access data from your Organizations. For more information, see Granting access to Organizations in the Amazon Web Services Marketplace Buyer Guide",
+      loadSpec: "aws/marketplace-reporting",
+    },
     {
       name: "marketplacecommerceanalytics",
       description:
@@ -1419,7 +1425,7 @@ const completionSpec: Fig.Spec = {
     {
       name: "memorydb",
       description:
-        "MemoryDB is a fully managed, Redis OSS-compatible, in-memory database that delivers ultra-fast performance and Multi-AZ durability for modern applications built using microservices architectures. MemoryDB stores the entire database in-memory, enabling low latency and high throughput data access. It is compatible with Redis OSS, a popular open source data store, enabling you to leverage Redis OSS\u2019 flexible and friendly data structures, APIs, and commands",
+        "MemoryDB for Redis is a fully managed, Redis-compatible, in-memory database that delivers ultra-fast performance and Multi-AZ durability for modern applications built using microservices architectures. MemoryDB stores the entire database in-memory, enabling low latency and high throughput data access. It is compatible with Redis, a popular open source data store, enabling you to leverage Redis\u2019 flexible and friendly data structures, APIs, and commands",
       loadSpec: "aws/memorydb",
     },
     {
@@ -1702,7 +1708,7 @@ const completionSpec: Fig.Spec = {
     {
       name: "qconnect",
       description:
-        "Powered by Amazon Bedrock: Amazon Web Services implements automated abuse detection. Because Amazon Q in Connect is built on Amazon Bedrock, users can take full advantage of the controls implemented in Amazon Bedrock to enforce safety, security, and the responsible use of artificial intelligence (AI).  Amazon Q in Connect is a generative AI customer service assistant. It is an LLM-enhanced evolution of Amazon Connect Wisdom that delivers real-time recommendations to help contact center agents resolve customer issues quickly and accurately. Amazon Q in Connect automatically detects customer intent during calls and chats using conversational analytics and natural language understanding (NLU). It then provides agents with immediate, real-time generative responses and suggested actions, and links to relevant documents and articles. Agents can also query Amazon Q in Connect directly using natural language or keywords to answer customer requests. Use the Amazon Q in Connect APIs to create an assistant and a knowledge base, for example, or manage content by uploading custom files. For more information, see Use Amazon Q in Connect for generative AI powered agent assistance in real-time in the Amazon Connect Administrator Guide",
+        "Amazon Q actions     Amazon Q data types      Powered by Amazon Bedrock: Amazon Web Services implements automated abuse detection. Because Amazon Q in Connect is built on Amazon Bedrock, users can take full advantage of the controls implemented in Amazon Bedrock to enforce safety, security, and the responsible use of artificial intelligence (AI).  Amazon Q in Connect is a generative AI customer service assistant. It is an LLM-enhanced evolution of Amazon Connect Wisdom that delivers real-time recommendations to help contact center agents resolve customer issues quickly and accurately. Amazon Q in Connect automatically detects customer intent during calls and chats using conversational analytics and natural language understanding (NLU). It then provides agents with immediate, real-time generative responses and suggested actions, and links to relevant documents and articles. Agents can also query Amazon Q in Connect directly using natural language or keywords to answer customer requests. Use the Amazon Q in Connect APIs to create an assistant and a knowledge base, for example, or manage content by uploading custom files. For more information, see Use Amazon Q in Connect for generative AI powered agent assistance in real-time in the Amazon Connect Administrator Guide",
       loadSpec: "aws/qconnect",
     },
     {