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prepare_seasonal_review

Condense seasonal anime candidates into a structured AI review packet for batch-focused screening and evaluation.

Instructions

Compact seasonal candidates into an AI review packet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
max_itemsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the tool is read-only, whether it modifies persisted state, how it handles large candidate sets, or what 'compacting' actually changes. 'Compact into a packet' hints at transformation but leaves side effects ambiguous.

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 a single sentence with no filler and the core purpose is front-loaded. However, it is only minimal under-specification rather than genuinely rich concise; it still earns credit for not wasting words.

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 no annotations, no parameter descriptions, and the existence of several sibling tools, this description is too brief for an agent to understand the contract fully. The output schema may clarify return values, but it does not compensate for missing guidance about inputs, limits, usage flow, or side effects.

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?

Schema description coverage is 0%, so the description must compensate, but it does not explain 'items' shape or the meaning of 'max_items'. The phrase 'seasonal candidates' weakly maps to 'items,' but 'max_items' is unmentioned and no parameter semantics are clarified. With two undocumented parameters, this is a significant gap.

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 description uses a specific verb ('Compact') and a concrete resource ('seasonal candidates') with a clear output destination ('AI review packet'). It distinguishes the tool's job from sibling tools like 'seasonal_candidates' or 'organize_season_folders', though it does not explicitly name any sibling.

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?

The description gives no guidance on when to use this tool versus alternatives, and it does not state any preconditions or follow-up actions. The only implicit hint is that it operates on 'seasonal candidates,' but that is not enough to route an agent confidently.

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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