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scrape-badger

ScrapeBadger MCP Server

Official

get_twitter_user_tweets

Retrieve recent tweets from a specific Twitter/X user, including text, metrics, media, and engagement data.

Instructions

Get recent tweets from a Twitter/X user. Returns tweets with text, metrics, media, and engagement data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesTwitter username (without @)
max_resultsNoMax results (1-100)
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It mentions 'recent tweets' but does not disclose pagination, rate limits, authentication needs, or any side effects.

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?

Single sentence, no fluff. Information is front-loaded and efficient.

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

Completeness2/5

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

Without an output schema or annotations, the description is too brief. It lacks details on pagination, rate limits, response format, and potential errors, making it incomplete for reliable tool use.

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?

Schema coverage is 100%, so parameters are documented. The description adds context about returned data but does not elaborate on parameter meaning beyond what the schema provides.

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 tool retrieves tweets from a user, specifying the returned data (text, metrics, media, engagement). It distinguishes from siblings like get_twitter_tweet (single tweet) and search_twitter_tweets (query-based).

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

Usage Guidelines3/5

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

The description implies use for getting recent tweets of a specific user but lacks explicit guidance on when to choose this over alternatives like search_twitter_tweets or get_twitter_tweet.

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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