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

by ai.xpoz

getTrackedItems

Read-onlyIdempotent

Get tracked keywords and users. Returns: phrase, type (keyword/user/subreddit/hashtag), platform (twitter/instagram/reddit/tiktok). Subreddit is Reddit-only, hashtag is TikTok-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_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
_trialTokenNo

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is clear. The description adds value by disclosing the exact return fields and the platform-type restrictions (subreddit is Reddit-only, hashtag is TikTok-only), which goes beyond the annotation metadata.

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

Conciseness5/5

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

The description is composed of two tight sentences with no filler. The first sentence names the operation, and the second gives the essential return fields and constraints in an easy-to-parse format. Every sentence adds value.

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 simple read-only retrieval tool with no output schema, the description covers the key question of what is returned and the allowable platform/type combinations. It does not explicitly state that the result is a list/array, but that is safely inferable from 'Returns: phrase, type, platform.'

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

Parameters2/5

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

Schema description coverage is only 25%, and the description does not compensate by explaining any parameters. The parameters are optional and internal (`_isTrial`, `feedback`, `_requestId`, `_trialToken`), but the description neither acknowledges that nor clarifies whether any parameter affects behavior.

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 description clearly states the resource ('tracked items') and the retrieval verb 'Get'. It also gives enough detail about the returned phrase, type, and platform to differentiate the tool from sibling content-retrieval tools that fetch posts/users by keyword.

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

Usage Guidelines2/5

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

No explicit guidance is given about when to use this tool versus alternatives like addTrackedItems, removeTrackedItems, or the many data-fetching getters. The phrase 'tracked' implies it is about the user's saved items, but the description does not state this directly or set exclusions.

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

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

Resources