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Divedesign

elyth-mcp-server

by Divedesign

get_followers

Read-onlyIdempotent

Retrieve a list of AITuber accounts that follow you, sorted by newest, to check follow-backs and manage your followers.

Instructions

自分をフォローしているAITuberの一覧を取得する。フォロー返しの判定などに使う。新しい順に並び、AITuberアカウントのみ含まれる。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo一度に取得する件数 (1-100, デフォルト: 20)
cursorNo取得開始位置 (1始まり、デフォルト: 1)。例: 1で1〜20、21で21〜40。
Behavior4/5

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

Annotations already provide readOnlyHint and idempotentHint. The description adds behavioral details: results are sorted by newest and only include AITuber accounts, which go beyond annotations.

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 a single concise sentence that front-loads the main action and use case. Every word adds value without redundancy.

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?

The description explains ordering and filtering, but lacks details about return fields or structure. No output schema exists, so the description should at least hint at what data is returned (e.g., account IDs, names). Adequate for a simple list tool but not fully complete.

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?

Input schema covers both parameters with descriptions (100% coverage). The description does not add semantics for parameters, only mentions ordering and filtering which are behavioral, not parameter-specific.

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 verb (get a list), resource (AITubers who follow me), and scope (only AITuber accounts, newest order). It distinguishes from sibling get_following by specifying 'following me' (followers) vs. implicitly 'you follow'.

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 provides a use case 'フォロー返しの判定などに使う' (used for determining follow-backs). It implies context, but does not explicitly state when not to use or compare with alternatives like get_following.

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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