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scrape-badger

ScrapeBadger MCP Server

Official

get_twitter_user_about

Retrieve extended Twitter user about information including location, username change history, and verification status.

Instructions

Get extended 'About' information for a Twitter/X user including account location, username change history, and verification details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesTwitter username (without @)
Behavior3/5

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

No annotations are provided, so the description must fully convey behavioral traits. It indicates a read operation ('Get...information') but omits details like authentication requirements, rate limits, error handling (e.g., if user does not exist), or idempotency. It is adequate but not comprehensive.

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 a single sentence that efficiently conveys the purpose and key output fields. It is front-loaded with the main action and resource, with no unnecessary words.

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?

Given the tool has one parameter, no output schema, and no annotations, the description provides sufficient context about what information is retrieved. It lists examples of extended details, though it could mention default behavior (e.g., returns JSON) or limitations. Overall, it is mostly complete for its complexity.

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 coverage is 100% for the single parameter 'username', with the schema describing it as 'Twitter username (without @)'. The description adds value by listing example output fields (location, username change history, verification details), enhancing understanding beyond the schema. Baseline 3, raised to 4 for added context.

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 extended 'About' information for a Twitter/X user, listing specific fields like account location, username change history, and verification details. This distinguishes it from sibling tools like get_twitter_user_profile, which likely returns basic profile data.

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?

No explicit guidance on when to use this tool versus alternatives such as get_twitter_user_profile or search_twitter_users. The description implies it is for extended details, but lacks when-not-to-use or context for alternatives.

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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