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scrape-badger

ScrapeBadger MCP Server

Official

get_twitter_community_detail

Retrieve detailed information about a Twitter community, including its name, description, member count, rules, and admin details.

Instructions

Get details about a Twitter community including name, description, member count, rules, and admin information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
community_idYesTwitter community ID
Behavior2/5

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

No annotations available. Description implies a read operation but omits important behavioral details such as authentication requirements, rate limits, or whether the community must be public. Minimal disclosure beyond the basic operation.

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, clear sentence with no extraneous information. Every word is purposeful and directly conveys the tool's function.

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?

Despite no output schema, the description lists returned fields (name, description, member count, rules, admin info), compensating well. It could briefly mention how to obtain community_id, but for a simple tool, it is nearly complete.

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% with a single parameter 'community_id' described as 'Twitter community ID'. The tool description does not add any semantic value beyond the schema, so baseline of 3 is appropriate.

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?

Clearly states 'Get details about a Twitter community' with specific fields (name, description, member count, rules, admin info), distinguishing it from sibling tools that handle different resources like lists or tweets.

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?

No context on when to use this tool versus alternatives like search_twitter_communities. No prerequisites or exclusions provided, leaving the agent uninformed about the appropriate use case.

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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