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{
"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- \u0022find articles about serverless architecture\u0022\n- \u0022search for support tickets mentioning \u0027billing issue\u0027 or \u0027refund request\u0027\u0022\n- \u0022what is our policy on parental leave?\u0022\n- \u0022list all products where the category is \u0027electronics\u0027\u0022\n- \u0022show me the last 5 documents from that index\u0022\n- \u0022show me the sales over the last year break down by month\u0022\n\nNote:\n- The \u0027index\u0027 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 \u0027index\u0027 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**IMPORTANT**: This tool only **runs** queries; it does not write them.\nThink of this as the final step after a query has been prepared.\n\nYou **must** get the query from one of two sources before calling this tool:\n1. The output of the \u0060platform.core.generate_esql\u0060 tool (if the tool is available).\n2. A verbatim query provided directly by the user.\n\nUnder no circumstances should you invent, guess, or modify a query yourself for this tool.\nIf you need a query, use the \u0060platform.core.generate_esql\u0060 tool first.",
"id": "platform.core.execute_esql",
"readonly": true,
"schema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"type": "object",
"properties": {
"query": {
"description": "The ES|QL query to execute",
"type": "string"
}
},
"required": [
"query"
]
},
"tags": [],
"type": "builtin"
},
{
"configuration": {
"params": {
"limit": {
"description": "Maximum number of results to return",
"type": "integer"
},
"startTime": {
"description": "Start time for the analysis in ISO format",
"type": "date"
}
},
"query": "FROM financial_trades | WHERE execution_timestamp \u003E= ?startTime | STATS trade_count=COUNT(*), avg_price=AVG(execution_price) BY symbol | SORT trade_count DESC | LIMIT ?limit"
},
"description": "Example ES|QL query tool for analyzing financial trades with time filtering",
"id": "example-esql-tool",
"readonly": false,
"schema": {
"$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"
}
]
}