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scrape-badger

ScrapeBadger MCP Server

Official

get_twitter_list_detail

Retrieve details of a Twitter list by its ID, including name, description, member and subscriber counts, and owner information.

Instructions

Get details about a Twitter list including name, description, member count, subscriber count, and owner information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYesTwitter list ID
Behavior3/5

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

With no annotations provided, the description must disclose behavioral traits. It implies a read-only operation (getting details) but does not explicitly state that it does not modify data or require specific permissions. The description is adequate but lacks explicit behavioral disclosure beyond the obvious.

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 immediately conveys the tool's purpose and key details. No unnecessary words, front-loaded with the action and resource. Efficient and well-structured.

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 simple one-parameter input and no output schema, the description covers the main purpose and lists the types of details returned. It is complete enough for an agent to understand what information will be retrieved, though it could hint at the return structure (e.g., an object).

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%—the single parameter 'list_id' is described as 'Twitter list ID' in the schema. The description does not add any additional meaning, such as format, source, or constraints. Baseline 3 is appropriate since the schema fully documents the parameter.

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 verb 'Get details' and specifies the resource 'a Twitter list', listing specific details returned (name, description, member count, subscriber count, owner information). This distinguishes it from sibling tools like get_twitter_list_tweets (fetches tweets) or search_twitter_lists (searches for lists).

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

Usage Guidelines2/5

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

The description does not provide any guidance on when to use this tool versus alternatives. There is no mention of prerequisites, limitations, or cases where other tools would be more appropriate. It only states what it does without usage context.

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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