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Glama

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

removeTrackedItems

DestructiveIdempotent

Remove tracked keywords/users. Accepts array of items with phrase, type (keyword/user/subreddit/hashtag), platform (twitter/instagram/reddit/tiktok). Subreddit is Reddit-only, hashtag is TikTok-only. Use getTrackedItems first to see current items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesArray of tracked items to remove. Use getTrackedItems to see current items.
_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

A4.2/5.0
Behavior3/5

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

The description adds useful platform/type constraints, such as 'Subreddit is Reddit-only, hashtag is TikTok-only'. However, it does not disclose behaviors like whether removal is permanent, what happens if items do not exist, or what the response looks like. Since annotations already mark this as destructive and idempotent, the description adds some but not extensive additional transparency.

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?

Three sentences with no filler: the action, the required payload shape, and the prerequisite lookup. Each sentence contributes meaningful information, and the description is compact and readable.

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 removal tool, the description covers what to pass, valid enum combinations, platform restrictions, and how to list current items first. It does not document return values or failure behavior, but there is no output schema and the core invocation contract is clear.

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?

The description explains the item structure, the allowed type enum, the allowed platform enum, and the type-platform pairing rule. It also tells the agent to use getTrackedItems to obtain valid values. Internal metadata fields like _isTrial and feedback are not described, but those are not essential for invoking the tool correctly.

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?

Starts with 'Remove tracked keywords/users', which is a concrete verb + resource statement. It clearly distinguishes this from getTrackedItems and addTrackedItems among the siblings by making the removal semantics explicit.

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 explicit sequencing guidance: 'Use getTrackedItems first to see current items.' This tells the agent when and how to prepare the call. It does not explicitly say when not to use this tool, but the context is clear enough for selection.

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.