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Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)

getTwitterPostComments

Read-only

Get comments (replies) to specific post. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. Results include guidance for full mode. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze all comments. Ideal for: sentiment analysis, discussion themes, community engagement analysis. First searches database, then external API if data is stale (>10 days). Date filter: OMIT startDate by default. ONLY pass if user explicitly requests filtering from specific date (YYYY-MM-DD format). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Use to analyze community response and discussion. NOT for quotes - use getTwitterPostQuotes. Optional fields parameter for performance: ["id", "text", "authorUsername", "createdAt"]. This is a safe, read-only tool for analyzing searchable information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K).
fieldsNoPERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "text", "authorUsername", "createdAtDate"]. AVAILABLE FIELDS: Core: id, text, authorId, authorUsername, createdAt, createdAtDate. Engagement: retweetCount, replyCount, likeCount, quoteCount, impressionCount, bookmarkCount. Metadata: lang, possiblySensitive, suspended, deleted, source, isRetweet, hasBirdwatchNotes, status. Birdwatch: birdwatchNotesId, birdwatchNotesText, birdwatchNotesUrl. Relations: conversationId, quotedTweetId, retweetedTweetId, replyToTweetId, replyToUserId, replyToUsername, originalTweetId (original tweet ID if edited, equals own ID if unedited), editedTweets (array of edited version IDs). Content: hashtags, mentions, mediaUrls, urls, grokGeneratedContent (array of Grok AI generated content grok_post_id, grok_url, media_id). Location: placeName, placeCountry, placeCountryCode, placeBoundingBoxCoordinates, placeCentroid. EXAMPLES: ["id", "text"] for minimal, ["id", "text", "retweetCount", "likeCount", "hashtags"] for basic analysis, or specify all fields if needed.
postIdYesNumeric Twitter post/tweet ID. Must be a number-only string (e.g., "1234567890"). Do NOT pass tweet text, URLs, or usernames here.
_isTrialNo
feedbackNoOptional. 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.
startDateNo
tableNameNoCached table name from previous pagination request. Required when fetching pageNumber > 1. Returned in first page response.
_requestIdNo
pageNumberNoPage number to fetch (1-indexed). Must be provided with tableName to fetch subsequent pages. Omit for first page.
userPromptNoCRITICAL 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.
_trialTokenNo
forceLatestNoUSE 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).
responseTypeNoResponse 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.
pageNumberEndNoOptional 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.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / feedback / description
      Previous value: -"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 getTwitterListMembers tool\", \"loved how fast this was\". Captured for product feedback; does not affect tool behavior."New value: +"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."
  2. Changed1 schema field changed
    • changedInput schema / properties / fields / description
      Previous value: -"PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): [\"id\", \"text\", \"authorUsername\", \"createdAtDate\"]. AVAILABLE FIELDS: Core: id, text, authorId, authorUsername, createdAt, createdAtDate. Engagement: retweetCount, replyCount, likeCount, quoteCount, impressionCount, bookmarkCount. Metadata: lang, possiblySensitive, suspended, deleted, source, isRetweet, hasBirdwatchNotes, status. Birdwatch: birdwatchNotesId, birdwatchNotesText, birdwatchNotesUrl. Relations: conversationId, quotedTweetId, retweetedTweetId, replyToTweetId, replyToUserId, replyToUsername, originalTweetId (original tweet ID if edited, equals own ID if unedited), editedTweets (array of edited version IDs). Content: hashtags, mentions, mediaUrls, urls, grokGeneratedContent (array of Grok AI generated content grok_post_id, grok_url, media_id). Location: country, region, city. EXAMPLES: [\"id\", \"text\"] for minimal, [\"id\", \"text\", \"retweetCount\", \"likeCount\", \"hashtags\"] for basic analysis, or specify all fields if needed."New value: +"PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): [\"id\", \"text\", \"authorUsername\", \"createdAtDate\"]. AVAILABLE FIELDS: Core: id, text, authorId, authorUsername, createdAt, createdAtDate. Engagement: retweetCount, replyCount, likeCount, quoteCount, impressionCount, bookmarkCount. Metadata: lang, possiblySensitive, suspended, deleted, source, isRetweet, hasBirdwatchNotes, status. Birdwatch: birdwatchNotesId, birdwatchNotesText, birdwatchNotesUrl. Relations: conversationId, quotedTweetId, retweetedTweetId, replyToTweetId, replyToUserId, replyToUsername, originalTweetId (original tweet ID if edited, equals own ID if unedited), editedTweets (array of edited version IDs). Content: hashtags, mentions, mediaUrls, urls, grokGeneratedContent (array of Grok AI generated content grok_post_id, grok_url, media_id). Location: placeName, placeCountry, placeCountryCode, placeBoundingBoxCoordinates, placeCentroid. EXAMPLES: [\"id\", \"text\"] for minimal, [\"id\", \"text\", \"retweetCount\", \"likeCount\", \"hashtags\"] for basic analysis, or specify all fields if needed."
  3. Changed6 schema fields changed
    • addedInput schema / properties / _isTrial
      Added value: +{
      +  "type": "boolean"
      +}
    • addedInput schema / properties / _trialToken
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / feedback
      Added value: +{
      +  "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 getTwitterListMembers tool\", \"loved how fast this was\". Captured for product feedback; does not affect tool behavior.",
      +  "type": "string"
      +}
    • changedInput schema / properties / fields / description
      Previous value: -"PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): [\"id\", \"text\", \"authorUsername\", \"createdAtDate\"]. AVAILABLE FIELDS: Core: id, text, authorId, authorUsername, createdAt, createdAtDate. Engagement: retweetCount, replyCount, likeCount, quoteCount, impressionCount, bookmarkCount. Metadata: lang, possiblySensitive, suspended, deleted, source. Relations: conversationId, quotedTweetId, retweetedTweetId, replyToTweetId, replyToUserId, replyToUsername, originalTweetId (original tweet ID if edited, equals own ID if unedited), editedTweets (array of edited version IDs). Content: hashtags, mentions, mediaUrls, grokGeneratedContent (array of Grok AI generated content grok_post_id, grok_url, media_id). Location: country, region, city. EXAMPLES: [\"id\", \"text\"] for minimal, [\"id\", \"text\", \"retweetCount\", \"likeCount\", \"hashtags\"] for basic analysis, or specify all fields if needed."New value: +"PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): [\"id\", \"text\", \"authorUsername\", \"createdAtDate\"]. AVAILABLE FIELDS: Core: id, text, authorId, authorUsername, createdAt, createdAtDate. Engagement: retweetCount, replyCount, likeCount, quoteCount, impressionCount, bookmarkCount. Metadata: lang, possiblySensitive, suspended, deleted, source, isRetweet, hasBirdwatchNotes, status. Birdwatch: birdwatchNotesId, birdwatchNotesText, birdwatchNotesUrl. Relations: conversationId, quotedTweetId, retweetedTweetId, replyToTweetId, replyToUserId, replyToUsername, originalTweetId (original tweet ID if edited, equals own ID if unedited), editedTweets (array of edited version IDs). Content: hashtags, mentions, mediaUrls, urls, grokGeneratedContent (array of Grok AI generated content grok_post_id, grok_url, media_id). Location: country, region, city. EXAMPLES: [\"id\", \"text\"] for minimal, [\"id\", \"text\", \"retweetCount\", \"likeCount\", \"hashtags\"] for basic analysis, or specify all fields if needed."
    • addedInput schema / properties / limit
      Added value: +{
      +  "description": "Max results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K).",
      +  "maximum": 500000,
      +  "minimum": 1,
      +  "type": "number"
      +}
    • addedInput schema / properties / responseType
      Added value: +{
      +  "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.",
      +  "enum": [
      +    "fast",
      +    "paging",
      +    "csv"
      +  ],
      +  "type": "string"
      +}
  4. Changed2 schema fields changed
    • addedInput schema / properties / postId / description
      Added value: +"Numeric Twitter post/tweet ID. Must be a number-only string (e.g., \"1234567890\"). Do NOT pass tweet text, URLs, or usernames here."
    • addedInput schema / properties / postId / pattern
      Added value: +"^\\d+$"
  5. First observed

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this ('This is a safe, read-only tool'). It adds substantial behavioral context beyond annotations: database-first lookup with external API fallback if data is stale (>10 days), async operationId/polling semantics for paging and CSV modes, the date-filter requirement to OMIT startDate unless explicitly requested, and the 2026 year-calculation warning that protects against common agent date errors. All of this aligns with, and enriches, the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The mode-based structure is front-loaded and logical, but the description is a sprawling wall of text with loud labels ('IMPORTANT!!!!!', 'CODE EXECUTION:'), some redundancy between 'Ideal for' and 'Use to analyze community response', and repeated emphasis. The information earns its keep, but it could be tightened into structured bullets without losing value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 14 parameters, no output schema, and no schema, the description is remarkably complete. It explains the return shape for each mode (direct results for fast, operationId polling for paging, S3 link for CSV), caching authenticity, staleness threshold, an SQL prompt that is important for relative dates, and the included code-execution suggestion which is actually missing from the schema. An agent has what it needs to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 71%, so the description carries meaningful weight, and it delivers. It explains limit semantics (capped at 300 in fast mode, default: 300), elaborates each responseType mode beyond the enum, gives field-selection performance guidance with examples, provides a rule for startDate in the schema, and cautions to pass the rule that userPrompt is 'CRITICAL FOR ACCURACY'. This adds real decision-making value on top of the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence 'Get comments (replies) to specific post' names a specific verb and resource with explicit scope. It differentiates from siblings by explicitly stating 'NOT for quotes - use getTwitterPostQuotes', and the Twitter-prefix plus comment/reply semantics separate it from the retweet and interacting-users siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for when to use the tool ('Use to analyze community response and discussion', 'Ideal for: sentiment analysis, discussion themes, community engagement analysis') and an explicit exclusion with an alternative ('NOT for quotes - use getTwitterPostQuotes'). It does not address when to choose this over getTwitterPostRetweets or getTwitterPostInteractingUsers, so the guidance is strong but not fully comprehensive across siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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