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twitterapi-mcp-server

Get Trending Topics

get_trends
Read-only

Fetch current trending topics/hashtags for a location. Pass a Yahoo Where-On-Earth ID (woeid). Common: 1=Worldwide, 23424977=USA, 23424975=UK, 23424856=Japan, 23424848=India, 23424881=South Korea. Use woeid=1 for global trends if you don't know a specific location.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoMax trends to return (default API behavior; may be silently capped by API).
woeidYesYahoo Where-On-Earth ID for the location. Common values: 1 = Worldwide, 23424977 = USA, 23424975 = UK, 23424856 = Japan. Use 1 for global trends if unsure.

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds temporal ('current') and location-scoped behavior but does not disclose further traits such as rate limits or data freshness delays; given the annotation coverage, this is adequate but not exceptional.

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 three front-loaded sentences: purpose, required parameter, and default guidance. Every sentence earns its place with no filler or repetition.

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 read-only tool with one required parameter and a simple optional count, the description plus schema covers the essential calling context. There is no output schema, but the returned resource is clear from 'trending topics/hashtags'; still, a note on output format or ordering would make it fully complete.

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 description coverage is 100%, so the schema carries the baseline parameter documentation. The description adds value by providing a broader set of common WOEID examples (India, South Korea) and reinforcing the safe default woeid=1, which helps an agent choose the right value.

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 states a specific verb ('Fetch') and a specific resource ('current trending topics/hashtags for a location'). This clearly distinguishes the tool from the sibling tweet and user-related tools.

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 clear context on required input, common WOEID values, and a default fallback ('Use woeid=1 for global trends if you don't know a specific location'). It does not name alternative tools or explicitly say when not to use it, so it stops short of a 5.

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

A4.2/5.0
Disambiguation4/5

Most tools cleanly target distinct resources: trends, replies, quotes, retweeters, followers, followings, mentions, and search. However, get_user_info and get_user_about overlap significantly, and get_user_last_tweets vs search_tweets have overlapping capabilities that are only separated by usage warnings.

Naming Consistency5/5

All tools use a consistent snake_case convention with get_ as the dominant verb, followed by a clear noun target: get_trends, get_tweet_replies, get_user_followers, get_tweets_by_ids. search_tweets is the single intentional exception but follows the same predictable pattern.

Tool Count5/5

12 tools is well-scoped for a read-only Twitter/X data-access server. Each tool covers a distinct major data surface—trends, individual tweet interactions, user profiles, relationships, mentions, and search—without unnecessary bloat.

Completeness4/5

The set covers the most common Twitter read workflows: user lookup, timelines, search with date ranges, followers/followings, mentions, and engagement metrics like replies, quotes, and retweeters. Obvious gaps like liking users or list-based lookups are missing, but they are not critical to the server's apparent core purpose.

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