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Twitch User Videos

social_twitch_user_videos
Read-only

Fetches a list of videos (100 max) for a Twitch user, returning each video's id, slug, url, embedURL, title, viewCount, language, durationSeconds, game info, broadcaster details with follower count, thumbnailURL, and videoQualities at multiple resolutions with a signed videoURL for playback. Supports pagination via cursor and a trim option for lighter responses. Completed lookups cost at least 10 Nexscope credits. Actual cost depends on the operation and requested options. Repeated requests may purchase data again. Twitch User Videos API View Pricing Get Twitch user videos 1 credit per request Actual supplier units are reported per request. Examples are not guaranteed prices.

Input Schema

NameRequiredDescriptionDefault
handleYesTwitch handle
sort_byNoSort by
filter_byNoFilter by

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds genuinely useful behavior: response shape, a 100-item cap, cursor pagination, and a credit cost with a warning that repeated requests may repurchase data. However, it advertises cursor and trim controls that do not exist in the schema, which undermines trust in the stated behavior.

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?

The first sentence is well front-loaded and dense with useful output detail. The tail, however, is bloated vendor boilerplate ("Twitch User Videos API View Pricing Get Twitch user videos 1 credit per request...") that also conflicts with the earlier 'at least 10 Nexscope credits' figure.

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 read-only lookup tool with no output schema, the description does a reasonable job of enumerating returned fields and noting cost. It is incomplete on how sort_by and filter_by behave, and it describes pagination/trim options that cannot be invoked, leaving an agent unsure what it can actually request.

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 handle, sort_by, and filter_by are already documented at baseline. The description adds no meaning for sort_by or filter_by (e.g., default ordering or what HIGHLIGHT vs ARCHIVE vs UPLOAD actually select), and instead references cursor and trim parameters that are absent from the schema.

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?

The opening sentence states a specific verb and resource: fetching a list of videos (capped at 100) for a named Twitch user, and it enumerates the returned fields. That distinguishes it implicitly from siblings like social_twitch_clip (clips) and social_twitch_profile (profile data), though no sibling is named explicitly.

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?

There is no guidance on when to choose this over social_twitch_clip, social_twitch_profile, or social_twitch_user_schedule, and no stated preconditions. The only usage-adjacent content is pagination and trim hints, which the schema does not actually expose.

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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