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Crawlora-org

Crawlora MCP

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manga_rankings

Fetch and filter manga rankings by genre, format, and status. Sort by popularity, score, or trends using public AniList data.

Instructions

Rank manga. Returns a filterable, sorted manga ranking. Credential-free public AniList data. Filter by format, genre, and status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number, default 1
sortNoOrder: TRENDING_DESC, POPULARITY_DESC, SCORE_DESC, FAVOURITES_DESC, START_DATE_DESC, UPDATED_AT_DESC. Default TRENDING_DESC.
genreNoGenre filter, e.g. Fantasy.
formatNoFormat filter: MANGA, NOVEL, ONE_SHOT.
statusNoStatus filter: FINISHED, RELEASING, NOT_YET_RELEASED, CANCELLED, HIATUS.
per_pageNoResults per page, default 20, max 50
Behavior3/5

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

With no annotations, description carries full burden. It adds useful context about data source (AniList) and public access, but lacks details on rate limits, response behavior, or handling of invalid filters.

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?

Two concise sentences front-load the purpose and key features. No wasted words; each sentence adds value (purpose, data source, filtering).

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 ranking tool with 6 optional params and no output schema, description covers data source, public access, and filtering. Slightly lacking in describing what the returned ranking contains (e.g., scores, popularity), but sufficient for basic use.

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?

Schema coverage is 100% so baseline is 3. Description mentions 'Filter by format, genre, and status' which matches schema but adds no new meaning beyond what the parameter descriptions already provide.

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 uses specific verbs 'Rank' and 'Returns' with clear resource 'manga ranking'. It mentions filtering capabilities and data source, distinguishing it from search tools like manga_search and anime_rankings.

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?

Description implies usage for public ranking data but does not explicitly state when to use this tool over siblings like manga_search or manga_title. No alternatives or exclusions mentioned.

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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