getRedditPostsByKeywords

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "maxLength": 250,
      "description": "Full-text search of post content. Searches post titles and selftext. EXACT PHRASES: Wrap in double quotes - \"machine learning\" matches that exact phrase. KEYWORDS: Without quotes, matches posts containing any of the words - AI robotics blockchain. BOOLEAN OPERATORS: MUST explicitly use the keywords AND, OR (uppercase or lowercase). NO implicit operators - space between words means OR by default. Examples requiring explicit operators: Use \"deep learning\" AND python (not \"deep learning python\"). Use tensorflow OR pytorch (not \"tensorflow pytorch\"). PARENTHESES: Group terms for precise logic - (AI OR \"artificial intelligence\") AND ethics. Query examples: \"climate change\" | AI OR blockchain | \"neural networks\" AND python | (startup OR entrepreneur)"
    },
    "pageNumber": {
      "type": "number",
      "minimum": 1,
      "description": "Page number to fetch (1-indexed). Must be provided with tableName to fetch subsequent pages. Omit for first page."
    },
    "pageNumberEnd": {
      "type": "number",
      "minimum": 1,
      "description": "Optional ending page number for fetching multiple consecutive pages at once (e.g., pageNumber=1, pageNumberEnd=5 fetches pages 1-5). Must be >= pageNumber. Omit to fetch single page only. Requires tableName."
    },
    "tableName": {
      "type": "string",
      "description": "Cached table name from previous pagination request. Required when fetching pageNumber > 1. Returned in first page response."
    },
    "startDate": {
      "type": "string"
    },
    "endDate": {
      "type": "string"
    },
    "sort": {
      "type": "string",
      "enum": [
        "relevance",
        "hot",
        "top",
        "new",
        "comments"
      ],
      "description": "Sort order for results. Default: relevance."
    },
    "time": {
      "type": "string",
      "enum": [
        "hour",
        "day",
        "week",
        "month",
        "year",
        "all"
      ],
      "description": "Time filter for results. Default: all."
    },
    "subreddit": {
      "type": "string",
      "description": "Filter posts by subreddit name (without r/ prefix). Use this parameter to limit search to a specific subreddit. Example: subreddit=\"wallstreetbets\" finds all posts in r/wallstreetbets."
    },
    "fields": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): [\"id\", \"title\", \"authorUsername\", \"subredditName\", \"createdAtDate\"]. AVAILABLE FIELDS: Core: id, title, selftext, selftextHtml, url, permalink, postUrl, thumbnail. Author: authorId, authorUsername. Subreddit: subredditName, subredditId. Engagement: score, upvotes, downvotes, upvoteRatio, commentsCount, crosspostsCount. Flags: isSelf, isVideo, isOriginalContent, over18, spoiler, locked, stickied, archived. Meta: linkFlairText, postHint, domain, crosspostParent. Moderation: removal (JSON removal/deletion status), editedAt (ISO datetime of last edit, null if never edited). Timestamps: createdAt, createdAtTimestamp, createdAtDate. EXAMPLES: [\"id\", \"title\", \"score\"] for minimal, [\"title\", \"selftext\", \"score\", \"commentsCount\"] for content analysis."
    },
    "forceLatest": {
      "type": "boolean",
      "description": "USE SPARINGLY: Force fetching the latest data from the API, bypassing cache checks. Only use when explicitly required (e.g., \"get the latest\", \"most recent\", \"real-time\"). WARNING: Increases latency and API costs. Default: false (uses intelligent caching)."
    },
    "responseType": {
      "type": "string",
      "enum": [
        "fast",
        "paging",
        "csv"
      ],
      "description": "Response mode. \"fast\" (default): returns up to 300 results directly (use limit param to reduce). \"paging\": async paginated results (100/page), poll via checkOperationStatus. \"csv\": async single CSV download, poll for S3 link."
    },
    "limit": {
      "type": "number",
      "minimum": 1,
      "maximum": 500000,
      "description": "Max results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K)."
    },
    "userPrompt": {
      "type": "string",
      "description": "CRITICAL FOR ACCURACY: Include the complete user question to enable query optimization and context-aware filtering. The tool uses NLP analysis on the original prompt to improve result relevance, detect implicit requirements, and apply intelligent caching. Omitting this may result in suboptimal or incomplete results."
    },
    "feedback": {
      "type": "string",
      "description": "Optional. Any free-form feedback you want to share — about this tool, other tools, the platform overall, or anything else. Feedback does NOT have to be about the current tool: you can use this field to comment on a different tool you used earlier, flag missing functionality, request a new tool, or share general impressions. Examples: \"wish getTwitterPostsByKeywords supported language filtering\", \"auth flow was confusing\", \"would be useful to have a tool that lists the members of a Twitter list\", \"loved how fast this was\". Captured for product feedback; does not affect tool behavior."
    },
    "_requestId": {
      "type": "string"
    },
    "_isTrial": {
      "type": "boolean"
    },
    "_trialToken": {
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}