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nicoaguerrero

MyAnimeList MCP Server

get_suggested_anime

Fetch personalized anime suggestions from MyAnimeList for the current user. Supports pagination via limit and offset.

Instructions

    Fetches suggested anime for the current user from MyAnimeList.
    
    Args:
        limit (int): The number of results to return (default is 10 and max 100).
        offset (int): The offset for pagination (default is 0).
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
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 for behavioral disclosure. It only states it fetches suggestions without revealing side effects, authentication needs, rate limits, or return format. Basic read operation is implied, but little else.

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 concise and front-loaded, with a single sentence for purpose followed by an Args block. Every sentence adds value with no 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?

Given the simplicity (2 optional params, no output schema, no annotations), the description covers the main action and parameter details. However, it lacks mention of authentication requirements and return value structure, which would improve completeness.

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?

The input schema has 0% description coverage, but the description compensates by thoroughly documenting both parameters: limit (default 10, max 100) and offset (default 0). This provides clear semantics beyond the schema.

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 'Fetches suggested anime for the current user from MyAnimeList,' specifying the action (fetches), resource (suggested anime), scope (for the current user), and source (MyAnimeList). It distinguishes from sibling tools like get_anime, get_anime_ranking, and get_seasonal_anime, which have different purposes.

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 provides no guidance on when to use this tool versus alternatives. It does not mention scenarios where get_suggested_anime is appropriate or when other sibling tools should be used instead.

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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