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prepare_seasonal_review

Condense seasonal anime candidates into an AI review packet to streamline review processes.

Instructions

Compact seasonal candidates into an AI review packet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
max_itemsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It implies a transformation (compact) but does not disclose side effects, mutability, safety, or rate limits. Minimal behavioral insight beyond the vague verb.

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 description is very short (7 words), which is concise but at the expense of necessary detail. It front-loads the purpose but omits all other information. Adequate structure but insufficient content for a useful description.

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 presence of two parameters and an output schema, the description is incomplete. It fails to explain how 'items' should be structured, what 'max_items' does, or what the output contains. The tool feels under-specified for effective use.

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

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has two parameters ('items', 'max_items') with 0% description coverage. The tool description does not explain either parameter, leaving their meaning and usage entirely ambiguous. This is a critical gap.

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

Purpose3/5

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

The description states the action 'compact seasonal candidates into an AI review packet', providing a verb and resource. However, the term 'compact' is vague and doesn't clearly convey whether it summarizes, bundles, or filters. It distinguishes from siblings like 'seasonal_candidates' (likely fetches candidates) but lacks specificity.

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?

No usage guidance is given. The description does not indicate when to use this tool over alternatives, nor does it mention prerequisites or contraindications. The single sentence provides no context for decision-making.

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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