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Ukenn2112

Bangumi TV MCP Service

by Ukenn2112

browse_subjects

Browse and filter subjects like books, anime, music, games, and real-world media by type, category, year, platform, or sort order. Retrieve paginated results for precise media discovery.

Instructions

Browse subjects by type and filters.

Supported Subject Types (integer enum, required):
1: Book, 2: Anime, 3: Music, 4: Game, 6: Real

Supported Categories (integer enums for 'cat', specific to SubjectType):
Book (type=1): Other=0, Comic=1001, Novel=1002, Illustration=1003
Anime (type=2): Other=0, TV=1, OVA=2, Movie=3, WEB=5
Game (type=4): Other=0, Games=4001, Software=4002, DLC=4003, Tabletop=4005
Real (type=6): Other=0, JP=1, EN=2, CN=3, TV=6001, Movie=6002, Live=6003, Show=6004

Supported Sort orders (string for 'sort', optional):
'date', 'rank' (Default sorting may vary if 'sort' is not provided)

Args:
    subject_type: Required filter by subject type (integer value from SubjectType enum).
    cat: Optional filter by subject category (integer value from category enums).
    series: Optional filter for books (type=1). True for series main entry.
    platform: Optional filter for games (type=4). E.g. 'Web', 'PC', 'PS4'.
    sort: Optional sort order ('date' or 'rank').
    year: Optional filter by year.
    month: Optional filter by month (1-12).
    limit: Pagination limit. Max 50. Defaults to 30.
    offset: Pagination offset. Defaults to 0.

Returns:
    Formatted list of subjects or an error message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catNo
limitNo
monthNo
offsetNo
platformNo
seriesNo
sortNo
subject_typeYes
yearNo
Behavior4/5

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. It effectively describes key behaviors: it's a read operation (implied by 'Browse'), includes pagination with limits and offsets, specifies a max limit of 50, and outlines default values. It also details subject-specific filters (e.g., 'series' for books, 'platform' for games), which adds useful context beyond basic parameters.

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 well-structured with clear sections (e.g., supported types, categories, sort orders, args, returns) and front-loaded key information. It's appropriately sized for a tool with 9 parameters and complex enums, though some redundancy exists (e.g., repeating 'optional' in the args list after stating it earlier). Every sentence adds value, but minor trimming could improve efficiency.

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

Completeness4/5

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

For a tool with 9 parameters, no annotations, and no output schema, the description is largely complete. It covers all parameters with semantics, includes behavioral details like pagination limits, and provides return format hints ('Formatted list of subjects'). However, it lacks explicit error handling guidance or examples of output structure, leaving some gaps in full context.

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

Parameters5/5

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

Given 0% schema description coverage, the description compensates fully by providing detailed semantics for all 9 parameters. It explains enums for 'subject_type' and 'cat' with mappings, clarifies optional vs. required status, specifies constraints (e.g., 'limit: Max 50'), and adds context like 'series' being for books only. This goes well beyond what the minimal schema offers.

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 clearly states the tool's purpose as 'Browse subjects by type and filters,' which is a specific verb+resource combination. It distinguishes itself from sibling tools like 'search_subjects' by focusing on browsing with filtering rather than keyword-based searching. However, it doesn't explicitly contrast with all siblings like 'get_subject_details' or 'get_subject_characters.'

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

Usage Guidelines3/5

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

The description implies usage through parameter documentation (e.g., 'subject_type: Required filter by subject type'), suggesting it's for filtered browsing. It doesn't explicitly state when to use this tool versus alternatives like 'search_subjects' or 'get_subject_details,' nor does it mention prerequisites or exclusions. The guidance is functional but not comprehensive.

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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