{
  "results": [
    {
      "configuration": {},
      "description": "A powerful tool for searching and analyzing data within your Elasticsearch cluster.\nIt supports both full-text relevance searches and structured analytical queries.\n\nUse this tool for any query that involves finding documents, counting, aggregating, or summarizing data from a known index.\n\nExamples of queries:\n- \"find articles about serverless architecture\"\n- \"search for support tickets mentioning 'billing issue' or 'refund request'\"\n- \"what is our policy on parental leave?\"\n- \"list all products where the category is 'electronics'\"\n- \"show me the last 5 documents from that index\"\n- \"show me the sales over the last year break down by month\"\n\nNote:\n- The 'index' parameter can be used to specify which index to search against.\n If not provided, the tool will decide itself which is the best index to use.\n- It is perfectly fine not to specify the 'index' parameter. It should only be specified when you already\n know about the index and fields you want to search on, e.g. if the user explicitly specified it.",
      "id": "platform.core.search",
      "readonly": true,
      "schema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "type": "object",
        "properties": {
          "index": {
            "description": "(optional) Index to search against. If not provided, will automatically select the best index to use based on the query.",
            "type": "string"
          },
          "query": {
            "description": "A natural language query expressing the search request",
            "type": "string"
          }
        },
        "required": [
          "query"
        ]
      },
      "tags": [],
      "type": "builtin"
    },
    {
      "configuration": {},
      "description": "Retrieve the full content (source) of an Elasticsearch document based on its ID and index name.",
      "id": "platform.core.get_document_by_id",
      "readonly": true,
      "schema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "type": "object",
        "properties": {
          "id": {
            "description": "ID of the document to retrieve",
            "type": "string"
          },
          "index": {
            "description": "Name of the index to retrieve the document from",
            "type": "string"
          }
        },
        "required": [
          "id",
          "index"
        ]
      },
      "tags": [],
      "type": "builtin"
    },
    {
      "configuration": {},
      "description": "Execute an ES|QL query and return the results in a tabular format.\n\n## Usage\n\nThis tool runs an ES|QL query; it does not write one.\n\n### Where the query comes from\n\nBy default, when you need a new query, use the `platform_core_generate_esql` tool rather than writing it yourself: it inspects the target data and applies ES|QL guidance that is easy to get wrong when writing a query from memory.\nAdapting an earlier query to a new question, such as another metric or field, counts as writing a new query: call `platform_core_generate_esql` again for each new question.\n\nYou can run a query as-is when it comes from:\n- the user,\n- your instructions or a skill you loaded, such as a query template,\n- the result of another tool, or an attachment.\n\nThese are default guidelines. If your instructions or a skill you loaded tell you to write ES|QL queries yourself and run them with this tool, do so. Do the same if the `platform_core_generate_esql` tool is not available to you.",
      "id": "platform.core.execute_esql",
      "readonly": true,
      "schema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "type": "object",
        "properties": {
          "query": {
            "description": "The ES|QL query to execute",
            "type": "string"
          }
        },
        "required": [
          "query"
        ]
      },
      "tags": [],
      "type": "builtin"
    },
    {
      "configuration": {
        "params": {
          "limit": {
            "description": "Maximum number of results to return",
            "type": "integer"
          },
          "startTime": {
            "description": "Start time for the analysis in ISO format",
            "type": "date"
          }
        },
        "query": "FROM financial_trades | WHERE execution_timestamp >= ?startTime | STATS trade_count=COUNT(*), avg_price=AVG(execution_price) BY symbol | SORT trade_count DESC | LIMIT ?limit"
      },
      "description": "Example ES|QL query tool for analyzing financial trades with time filtering",
      "id": "example-esql-tool",
      "readonly": false,
      "schema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "description": "Parameters needed to execute the query",
        "type": "object",
        "properties": {
          "limit": {
            "description": "Maximum number of results to return",
            "type": "integer"
          },
          "startTime": {
            "description": "Start time for the analysis in ISO format",
            "format": "date-time",
            "type": "string"
          }
        },
        "required": [
          "startTime",
          "limit"
        ]
      },
      "tags": [
        "analytics",
        "finance"
      ],
      "type": "esql"
    },
    {
      "configuration": {
        "pattern": "financial_*"
      },
      "description": "Search tool specifically for financial data analysis and reporting",
      "id": "example-index-search-tool",
      "readonly": false,
      "schema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "type": "object",
        "properties": {
          "nlQuery": {
            "description": "A natural language query expressing the search request",
            "type": "string"
          }
        },
        "required": [
          "nlQuery"
        ]
      },
      "tags": [
        "search",
        "finance"
      ],
      "type": "index_search"
    }
  ]
}