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

getTwitterUsers

Read-onlyIdempotent

Get one or more Twitter user profiles by IDs or usernames (1-100 per request). Use identifierType="id" for numeric user IDs, identifierType="username" for usernames. All identifiers must be the same type. For single user: pass array of 1, e.g. identifiers=["elonmusk"]. For person names or fuzzy search, use searchTwitterUsers instead. PERFORMANCE: More efficient than multiple single calls, but can still take time for many users. Returns only found users, omitting not-found identifiers for flexibility. Optional fields parameter for performance (default: ["id", "username", "name"]). Available fields: id, profileImageUrl, profileBannerUrl, profileInterstitialType, status, username, verifiedType, name, description, location, protected, verified, followersCount, followingCount, tweetCount, listedCount, likesCount, mediaCount, pinnedTweetId, source, nLang, nLangsFiltered, label, labelType, isVerified, modifiedAt, createdAt, verifiedSinceDatetime, accountBasedIn, locationAccurate, usernameChanges, lastUsernameChangeDatetime. NOTE: Use "tweetCount" not "statusesCount". Returns: array of user profiles with count and dataSource. This is a safe, read-only tool for analyzing searchable information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoPERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "username", "name"]. AVAILABLE FIELDS: Core: id, username, name, description, location, verified, verifiedType, protected. Engagement: followersCount, followingCount, tweetCount, listedCount, likesCount, mediaCount. Profile: profileImageUrl, profileBannerUrl, profileInterstitialType. Metadata: source, status, pinnedTweetId, isVerified, accountBasedIn, locationAccurate, label, labelType. Advanced: nLang, nLangsFiltered. Timestamps: modifiedAt, createdAt. Account History: verifiedSinceDatetime, usernameChanges, lastUsernameChangeDatetime. EXAMPLES: ["id", "username"] for minimal, ["username", "name", "description, followersCount"] for basic info, or specify all fields if needed.
_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.
_requestIdNo
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).
identifiersYesArray of user IDs (numeric) or usernames (1-100). All must match identifierType. Examples: ["elonmusk", "sama"] for usernames, ["44196397", "123456"] for IDs. Returns only found users, omitting not-found identifiers.
identifierTypeYesType of identifier provided. Use "id" for numeric user ID, "username" for username.

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. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint. Description adds that not-found identifiers are omitted, return format includes count and dataSource, and performance characteristics (can take time for many users). It also notes the field naming correction ('tweetCount' not 'statusesCount'). No contradiction with annotations.

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

Conciseness4/5

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

Well-structured with sections and front-loaded core purpose. The field list is repeated from the schema, making it somewhat verbose, but each sentence contributes value (e.g., performance notes, alternative routing). Efficient overall despite length.

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 9 parameters, 2 required, no output schema, and moderate schema coverage, the description is comprehensive. It covers input format, field selection, return format, performance, safety, and alternative routing. An agent has everything needed to call it correctly.

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

Parameters4/5

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

Schema coverage is 67%, and the description compensates by explaining identifiers, identifierType, and fields with examples and a full field list. It adds critical clarifications like the tweetCount naming and performance guidance. Internal params like _isTrial and _requestId are not covered, but they are self-evident system fields.

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?

States a specific verb 'Get', resource 'Twitter user profiles', and method (by IDs or usernames). Limits (1-100) are clear. It explicitly distinguishes from sibling searchTwitterUsers by routing fuzzy searches there, so an agent can tell them apart immediately.

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

Usage Guidelines5/5

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

Provides explicit alternative: 'For person names or fuzzy search, use searchTwitterUsers instead.' Clarifies that all identifiers must be same type, gives examples for single and multiple users, and explains the optional fields parameter for performance. No ambiguity about when to use this tool.

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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