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Crawlora MCP

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coingecko_nft_category

List NFT collections for a CoinGecko category slug, returning paginated floor price, market cap, volume, sales, and performance data.

Instructions

CoinGecko NFT category. Lists NFT collections in one CoinGecko NFT category, identified by the required slug such as metaverse. Paged with page and limit (default and max 100). Each collection has chain, floor price and market cap in native and USD terms, 24h volume, 24h sales, and 24h, 7d and 30d changes.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, default 1
slugYesCoinGecko NFT category slug such as metaverse
limitNoRows to return, default 100, max 100
vs_currencyNoQuote currency

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.17.5
    • addedInput schema / properties / vs_currency / enum
      Added value: +[
      +  "btc",
      +  "eth",
      +  "ltc",
      +  "bch",
      +  "bnb",
      +  "eos",
      +  "xrp",
      +  "xlm",
      +  "link",
      +  "dot",
      +  "yfi",
      +  "sol",
      +  "usd",
      +  "aed",
      +  "ars",
      +  "aud",
      +  "bdt",
      +  "bhd",
      +  "bmd",
      +  "brl",
      +  "cad",
      +  "chf",
      +  "clp",
      +  "cny",
      +  "czk",
      +  "dkk",
      +  "eur",
      +  "gbp",
      +  "gel",
      +  "hkd",
      +  "huf",
      +  "idr",
      +  "ils",
      +  "inr",
      +  "jpy",
      +  "krw",
      +  "kwd",
      +  "lkr",
      +  "mmk",
      +  "mxn",
      +  "myr",
      +  "ngn",
      +  "nok",
      +  "nzd",
      +  "php",
      +  "pkr",
      +  "pln",
      +  "rub",
      +  "sar",
      +  "sek",
      +  "sgd",
      +  "thb",
      +  "try",
      +  "twd",
      +  "uah",
      +  "vef",
      +  "vnd",
      +  "zar",
      +  "xdr",
      +  "xag",
      +  "xau",
      +  "bits",
      +  "sats"
      +]
  2. First observedv1.0.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations the description carries the full burden, and it does useful work: it discloses pagination bounds ('default and max 100') and enumerates the returned fields (chain, floor price, market cap in native and USD, 24h volume/sales, 24h/7d/30d changes). It stops short of noting rate limits or data freshness/caching.

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?

Front-loaded with the identity sentence, followed by scope, pagination, and output fields in order of importance. Tight and readable, with only mild redundancy between the prose and schema on pagination defaults.

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?

No output schema exists, so the field enumeration in the description is essential and it delivers it. Combined with the required-slug and pagination notes, an agent has enough to call and interpret the tool, missing only freshness/auth context.

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 the schema already documents all four params including the enum currency list. The description adds the 'metaverse' slug example and the limit cap, but the schema supplies similar detail, so it stays at the baseline.

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?

States a specific verb and resource ('Lists NFT collections in one CoinGecko NFT category') and pins the scope via the required `slug`. This clearly separates it from broader NFT tools like coingecko_nfts, though it never names a sibling explicitly.

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?

Usage is implied by the category-browsing framing and the required `slug`, but there is no explicit 'use this when... vs coingecko_nfts/coingecko_categories' guidance or any exclusion. The agent can infer intent but gets no routing help.

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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