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Scrape Everything MCP Server

Scrape Everything MCP Server

Official

Twitch channel

twitch_channel
Read-onlyIdempotent

Fetch Twitch channel details by username or URL to view follower counts, partner status, images, and live or last-broadcast info.

Instructions

Twitch channel info: display name, description, partner/affiliate status, followers, images and live-stream / last-broadcast details. Cost: 1 credit per successful call (failed calls are refunded). Returns: user_id (string, nullable), username (string), display_name (string), description (string), created_at (string, nullable), is_partner (boolean), is_affiliate (boolean), follower_count (integer, nullable), profile_image_url (string, nullable), banner_image_url (string, nullable), is_live (boolean), stream (object, nullable), last_broadcast (object, nullable).

Input Schema

NameRequiredDescriptionDefault
usernameYesTwitch login name or channel URL. Example: "shroud"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and open-world, so the safety profile is covered without the description. The description adds genuinely useful operational context in the per-call credit cost and the refund policy for failed calls, but says nothing about rate limits, auth, or error conditions beyond cost.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the purpose, then cost, then returns, which is good information ordering. The return-field enumeration is long but earns its place since no output schema exists; the leading name restatement ('Twitch channel info') is the only mild redundancy.

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?

With no output schema, the description correctly compensates by listing every return field with types and nullability, which is exactly what an agent needs to use the result. It stops short of describing the nested stream/last_broadcast object structure and failure cases for nonexistent channels.

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?

The single username parameter is fully documented in the schema at 100% coverage, including a concrete example and the accepted 'login name or channel URL' forms. The description adds no parameter meaning beyond that, so the 3 baseline applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource (Twitch channel) and enumerates the exact fields retrieved, so the agent knows precisely what this returns. It never explicitly contrasts itself with twitch_videos or twitch_clips, but 'channel info' versus video/clip resources is distinguishable from the name and content.

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?

Usage is implied rather than stated: an agent can infer this is the right tool for channel-level metadata and the wrong one for videos or clips, but there is no explicit when-to-use or exclusion language. No mention of behavior for missing or non-existent channels.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.