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twitch_vod_comments

Retrieve a page of Twitch VOD chat messages from a given video timestamp, then paginate onward using the returned offset to get further comments.

Instructions

Get a Twitch VOD's chat replay. Returns one page of a Twitch VOD's chat replay (past-broadcast chat messages), starting at a given point in the video's timeline. Paginate forward by re-requesting with the last returned comment's offset_seconds. Public data sourced from Twitch's own GraphQL API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
videoYesTwitch VOD/video id (the numeric id from twitch.tv/videos/{id})
offsetNoStart the page from this point in the VOD's timeline, in seconds (default 0)
Behavior4/5

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

There are no annotations, so the description carries the behavioral burden. It discloses that this is a paginated endpoint, that it returns one page at a time, that it starts at an offset, and that the data is public from Twitch's GraphQL API. This is valuable transparency. It doesn't mention rate limits or return format, but the pagination disclosure is more than typical.

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?

The description is reasonably concise and front-loaded with the main purpose. Each sentence adds information: what it does, how paging works, and the data source. No filler. Minor omissions like an explicit page size hint or rate-limit note would improve completeness, but the structure is efficient.

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?

For a tool with two parameters, a required schema description, and no output schema, the description covers the critical operational details: how to start and how to paginate. It lacks any statement about response structure, max page size, or rate limits, but given the complexity is low, a 4 is fair.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 both parameters clearly. The description adds the crucial pagination semantics by explaining that offset_seconds from a returned comment becomes the next request's offset. This is extra meaning beyond the schema that helps an agent correctly paginate.

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 tool gets a Twitch VOD's chat replay, a specific resource and verb. It also explains it returns one page of past-broadcast chat messages starting at a given point, which distinguishes it from other Twitch tools and gives a specific sense of its function.

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

Usage Guidelines4/5

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

The description explains how to use it: start at a given point and paginate by re-requesting with the last returned comment's offset_seconds. This is a clear usage pattern. It doesn't explicitly mention when not to use it or name an alternative, but the pagination guidance is strong and practical.

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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