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Glama

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

cancelOperation

Idempotent

Cancel running operation. Required: operationId. Gracefully stops operation at next checkpoint. Returns confirmation. Use checkOperationStatus to verify cancellation completed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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
operationIdYesThe operation ID

TDQS

A4.2/5.0
Behavior4/5

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

Beyond the annotations (idempotentHint=true, destructiveHint=false), the description adds genuine behavioral context by stating it gracefully stops operation at next checkpoint, implying a non-immediate, non-destructive cancellation, and returns confirmation. These details align with the annotations rather than contradicting them.

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 five short sentences are aggressively front-loaded: purpose, required input, mechanism, return, and follow-up all appear in order with zero filler. Every clause earns its place.

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 async cancellation tool, the description covers the essential contract: what is required, how the stop behaves (at next checkpoint), what is returned (confirmation), and what to do next. With no output schema, the exact shape of the confirmation is still vague, and error cases (such as operation not found) are unaddressed, but nothing critical blocks correct invocation.

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

Parameters3/5

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

The schema already documents operationId (The operation ID) and the feedback field in detail, giving roughly 67% coverage. The description restates that operationId is required but adds little semantic meaning, and _requestId remains unexplained.

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?

Cancel running operation states a specific verb (cancel) and resource (a running operation) in a single clear clause. The closing sentence explicitly routes the agent to checkOperationStatus, distinguishing this tool from its closest sibling without opening any schemas.

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 names the required operationId as a precondition and gives a concrete working flow: cancel, then use checkOperationStatus to verify. However, it gives no explicit when-not-to-use guidance, such as avoiding cancelling already-completed operations.

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.