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twitch_search

Search public Twitch videos, channels, or games by keyword (~15 per page). Priced per page; defaults to 1 page.. Platform=twitch resource=search. Costs 1 credit(s). Requires Authorization: Bearer <api_key>. Credits unit: page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNovideos | channels | games. Defaults to videos.
depthNoPages to fetch. Defaults to 1.
keywordYesSearch text.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden well: it discloses the auth requirement (Authorization: Bearer), the credit cost (1 credit per page), the billing unit (page), and an approximate result count (~15 per page). It omits error/edge behavior and deeper pagination semantics, keeping it short of a 5.

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

Conciseness3/5

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

Front-loads the actual action, but the trailing boilerplate ('Platform=twitch resource=search. Costs 1 credit(s). Credits unit: page.') is machine-generated noise that partially restates the tool name, and there is a stray double period.

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

Completeness3/5

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

For a search tool with no output schema and no annotations, the description covers auth, cost, and result-set size, which is adequate. However it never describes what a result looks like or how depth interacts with cost when set above 1, leaving some gaps.

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 description coverage is 100%, so the schema already documents keyword, type, and depth. The description's only added detail is '~15 per page', which loosely contextualizes depth, so baseline 3 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 verb and resource ('Search public Twitch videos, channels, or games by keyword') with scope (public) and the entity types covered. An agent can distinguish it from twitch_followers, though it does not explicitly contrast against it or the other platform search siblings.

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?

Provides no when-to-use guidance or alternatives. The '~15 per page' and pricing notes describe cost, not the conditions under which this tool is the right pick over reddit_search/threads_search/tiktok_search.

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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