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createTwitchPrediction

Create interactive predictions on Twitch to engage viewers by setting titles, outcomes, and duration for live stream events.

Instructions

Create a Twitch Prediction

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesPrediction title
outcomesYesComma-separated outcomes
durationYesDuration in seconds
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but only states the action 'Create' without detailing permissions, side effects, rate limits, or response format. It fails to inform about mutation risks or operational constraints, which is inadequate for a creation tool.

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?

The description is extremely concise with a single sentence, 'Create a Twitch Prediction', which is front-loaded and wastes no words. However, this brevity contributes to under-specification rather than effective communication.

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

Completeness2/5

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

Given the tool's complexity as a creation operation with no annotations and no output schema, the description is incomplete. It lacks necessary context on behavior, usage, and results, failing to compensate for the absence of structured data, which is insufficient for effective agent use.

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 input schema fully documents parameters like title, outcomes, and duration. The description adds no additional meaning beyond the schema, such as format examples or constraints, resulting in a baseline score of 3 where the schema does the heavy lifting.

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

Purpose2/5

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

The description 'Create a Twitch Prediction' is a tautology that restates the tool name without adding meaningful context. It specifies the verb 'Create' and resource 'Twitch Prediction', but lacks detail about what a Twitch Prediction is or what this creation entails, making it vague compared to more specific alternatives.

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

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus alternatives like createTwitchPoll or other sibling tools. The description offers no context, prerequisites, or exclusions, leaving the agent without direction for appropriate tool selection.

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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