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

getTiktokUser

Read-onlyIdempotent

Get Tiktok user profile by ID or username. Use identifierType="id" for numeric user ID, identifierType="username" for username. For username: Use ONLY when you have the precise username. For person names or fuzzy search, use searchTiktokUsers instead. Optional fields parameter for performance (default: ["id", "username", "nickname"]). Available fields: id, username, nickname, signature, isPrivate, isVerified, followerCount, followingCount, likeCount, postCount, avatar, and more. Returns: single user profile. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. The response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoPERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "username", "nickname"]. AVAILABLE FIELDS: Core: id, username, nickname, signature, secUid, avatar, isPrivate, isVerified. Engagement: followerCount, followingCount, likeCount, postCount. Meta: language, region, createdAt, usernameModifyTime. EXAMPLES: ["id", "username"] for minimal, ["username", "nickname", "followerCount"] for basic info.
_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
identifierYesUser ID (numeric) or username depending on identifierType.
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).
identifierTypeYesType of identifier provided. Use "id" for numeric user ID, "username" for username.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description reinforces this with "safe, read-only tool" and adds genuinely non-redundant context: trial mode "returns up to 5 cached (database-only) results and never triggers live fetching," plus the performance tradeoff of the fields parameter. 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.

Conciseness3/5

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

Core behavior is front-loaded in four crisp sentences, but roughly 60% of the text is a trial-token acquisition paragraph containing meta-instructions ("give your real path with specifics... not which doc, skill, or SDK you are using now"). The auth context is useful, but the verbosity dilutes the tool-definition signal.

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

Completeness4/5

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

For a two-required-param read-only profile lookup amid a large sibling family, the description covers routing, the alternative tool, field optimization, return shape ("single user profile"), safety, and trial limits. There is no output schema, so return-structure detail is a minor gap, but not one that would prevent correct invocation.

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%; the description clarifies the two required params by explaining identifierType routing and adds a performance rationale for fields (default values and example selections) beyond what the schema lists. The three undocumented params (_isTrial, _requestId, _trialToken) are internal control fields, and token usage is covered in prose rather than 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?

States a specific verb and resource ("Get Tiktok user profile by ID or username") and immediately differentiates from the sibling searchTiktokUsers: "For person names or fuzzy search, use searchTiktokUsers instead." An agent can tell exact lookup apart from fuzzy search without inspecting any schema.

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?

Explicitly covers when-to-use ("Use ONLY when you have the precise username"), when-not-to-use (person names or fuzzy search), and names the alternative tool. The id-vs-username routing instruction removes any ambiguity in selecting identifierType.

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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TDQS

A3.8/5.0
Disambiguation3/5

Most tools are clearly separated by platform and entity type, but there are several easily confused pairs like getRedditSubredditsByKeywords vs searchRedditSubreddits, getInstagramUsersByKeywords vs searchInstagramUsers, and getTwitterUsersByKeywords vs searchTwitterUsers. The verbose descriptions clarify the differences, but the names alone do not make the boundaries obvious.

Naming Consistency4/5

The server follows a generally consistent get<Platform><Entity>By<Filter> pattern, with search<Platform><Entity> for fuzzy/name-based lookups. Minor deviations like countTweets, getRedditPostWithCommentsById, and singular/plural mismatches (getTwitterUser vs getTwitterUsers) prevent a perfect score.

Tool Count1/5

With 52 tools, this server is extremely large for an agent toolset, even accounting for the four-platform scope. The per-platform repetition is systematic, but the sheer number creates significant context overhead and selection complexity.

Completeness4/5

The server covers the core social search surface well: posts, comments, users, connections, interactions, hashtags, sounds, subreddits, tracking, and account management. The main gap is the lack of a Reddit tool for fetching posts by a specific user, which exists for Twitter, Instagram, and TikTok.