Add list of serverless tags in overlay

docs/overlays/elasticsearch-serverless-openapi-overlays.yaml

@@ -27,4 +27,188 @@ actions:
   - target: "$.paths[*]['get','put','post','delete','options','head','patch','trace']"
     description: Add x-beta
     update:
-      x-beta: true
+      x-beta: true
+  # Add an alphabetically sorted list of tags
+  - target: '$'
+    description: Add document-level tags sorted by display name
+    update:
+      tags:
+        - name: asynch_search
+          description: The async search API enables you to asynchronously run a search request, monitor its progress, and retrieve partial results as they become available.
+          x-displayName: Async search
+        - name: cat
+          x-displayName: Compact and aligned text (CAT)
+          description: >
+            The compact and aligned text (CAT) APIs aim are intended only for human consumption using the Kibana console or command line.
+            They are not intended for use by applications.
+            For application consumption, it's recommend to use a corresponding JSON API.
+
+            All the cat commands accept a query string parameter `help` to see all the headers and info they provide, and the `/_cat` command alone lists all the available commands.
+        - name: cluster
+          x-displayName: Cluster
+        - name: connector
+          x-displayName: Connector
+          description: >
+            The connector and sync jobs APIs provide a convenient way to create and manage Elastic connectors and sync jobs in an internal index.
+
+            Connectors are Elasticsearch integrations that bring content from third-party data sources, which can be deployed on Elastic Cloud or hosted on your own infrastructure:
+
+            * Native connectors are a managed service on Elastic Cloud
+            * Connector clients are self-managed on your infrastructure
+
+            This API provides an alternative to relying solely on Kibana UI for connector and sync job management. The API comes with a set of validations and assertions to ensure that the state representation in the internal index remains valid.
+          externalDocs:
+            url: https://www.elastic.co/guide/en/enterprise-search/current/connectors-tutorial-api.html
+            description: To get started with Connector APIs, check out the tutorial.
+        - name: bulk
+          description: The bulk API performs multiple indexing or delete operations in a single API call. This reduces overhead and can greatly increase indexing speed.
+          x-displayName: Document - Bulk
+        - name: create
+          x-displayName: Document - Create
+        - name: delete
+          x-displayName: Document - Delete
+        - name: delete_by_query
+          x-displayName: Document - Delete by query
+        - name: exists
+          x-displayName: Document - Exists
+        - name: get
+          x-displayName: Document - Get
+        - name: get_source
+          x-displayName: Document - Get source
+        - name: index
+          x-displayName: Document - Index
+        - name: mget
+          x-displayName: Document - Multi get
+        - name: mtermvectors
+          x-displayName: Document - Multi term vectors
+        - name: reindex
+          x-displayName: Document - Reindex
+        - name: exists_source
+          x-displayName: Document - Source exists
+        - name: termvectors
+          x-displayName: Document - Term vectors
+        - name: update
+          x-displayName: Document - Update
+        - name: update_by_query
+          x-displayName: Document - Update by query
+        - name: enrich
+          x-displayName: Enrich
+        - name: eql
+          x-displayName: EQL
+          description: >
+            Event Query Language (EQL) is a query language for event-based time series data, such as logs, metrics, and traces.
+          externalDocs:
+            url: https://www.elastic.co/guide/en/elasticsearch/reference/current/eql.html
+            description: EQL search
+        - name: esql
+          x-displayName: ES|QL
+          description: >
+            The Elasticsearch Query Language (ES|QL) provides a powerful way to filter, transform, and analyze data stored in Elasticsearch, and in the future in other runtimes.
+          externalDocs:
+            url: https://www.elastic.co/guide/en/elasticsearch/reference/current/esql.html
+            description: ES|QL overview and tutorials
+        - name: graph
+          x-displayName: Graph explore
+          description: >
+            The graph explore API enables you to extract and summarize information about the documents and terms in an Elasticsearch data stream or index.
+          externalDocs:
+            url: https://www.elastic.co/guide/en/kibana/current/xpack-graph.html
+            description: Getting started with Graph
+        - name: indices
+          x-displayName: Index
+          description: >
+            Index APIs enable you to manage individual indices, index settings, aliases, mappings, and index templates.
+        - name: inference
+          x-displayName: Inference
+          description: >
+            Inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Azure, Google AI Studio or Hugging Face.
+            For built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.
+            However, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.
+        - name: ingest
+          x-displayName: Ingest
+          description: Ingest APIs enable you to manage tasks and resources related to ingest pipelines and processors.
+        - name: license
+          x-displayName: Licensing
+          description: Licensing APIs enable you to manage your licenses.
+        - name: logstash
+          x-displayName: Logstash
+          description: >
+            Logstash APIs enable you to manage pipelines that are used by Logstash Central Management.
+          externalDocs:
+            url: https://www.elastic.co/guide/en/logstash/current/logstash-centralized-pipeline-management.html
+            description: Centralized pipeline management
+        - name: ml
+          x-displayName: Machine learning
+        - name: query_rules
+          x-displayName: Query rules
+          description: >
+            Query rules enable you to configure per-query rules that are applied at query time to queries that match the specific rule.
+            Query rules are organized into rulesets, collections of query rules that are matched against incoming queries.
+            Query rules are applied using the rule query.
+
+            If a query matches one or more rules in the ruleset, the query is re-written to apply the rules before searching.
+            This allows pinning documents for only queries that match a specific term.
+          externalDocs:
+            url: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-rule-query.html
+            description: Rule query
+        - name: put_script
+          x-displayName: Script - Create or update
+        - name: delete_script
+          x-displayName: Script - Delete
+        - name: get_script
+          x-displayName: Script - Get
+        - name: scripts_painless_execute
+          x-displayName: Script - Run painless
+        - name: search
+          x-displayName: Search
+        - name: close_point_in_time
+          x-displayName: Search - Close point in time
+        - name: count
+          x-displayName: Search - Count
+        - name: explain
+          x-displayName: Search - Explain
+        - name: field_caps
+          x-displayName: Search - Field capabilities
+        - name: msearch
+          x-displayName: Search - Multi search
+        - name: msearch_template
+          x-displayName: Search - Multi search template
+        - name: open_point_in_time
+          x-displayName:  Search - Open point in time
+        - name: rank_eval
+          x-displayName: Search - Ranking evaluation
+        - name: render_search_template
+          x-displayName: Search - Render search template
+        - name: scroll
+          x-displayName: Search - Scroll
+        - name: search_template
+          x-displayName: Search - Search template
+        - name: terms_enum
+          x-displayName: Search - Terms enum
+        - name: search_mvt
+          x-displayName: Search - Vector tile search
+        - name: search_application
+          x-displayName: Search application
+        - name: security
+          x-displayName: Security
+        - name: sql
+          x-displayName: SQL
+          description: >
+            Elasticsearch's SQL APIs enable you to run SQL queries on Elasticsearch indices and data streams.
+          externalDocs:
+            url: https://www.elastic.co/guide/en/elasticsearch/reference/current/xpack-sql.html
+            description: An overview and tutorials for the Elasticsearch SQL features
+        - name: synonyms
+          x-displayName: Synonyms
+          description: >
+            The synonyms management API provides a convenient way to define and manage synonyms in an internal system index.
+            Related synonyms can be grouped in a "synonyms set".
+            Create as many synonym sets as you need.
+        - name: tasks
+          x-displayName: Task management
+        - name: transform
+          x-displayName: Transform
+
+
+
+