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SiteCheck Crypto & Finance

Finance Nomics Crypto

finance_nomics_crypto
Read-only

Crypto market tickers (replacement for the closed Nomics ticker API): rank, name, symbol, price, 24h volume, market cap, circulating/total/max supply, % change over 15m, 1h, 24h, 7d, 30d, 1y, all-time high price/date and distance from it, in USD or another quote (EUR, GBP, JPY, TRY, BTC, ETH). Top coins by rank, or specific CoinPaprika ids (btc-bitcoin, eth-ethereum). Data from CoinPaprika's public API. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
idsNoUp to 10 CoinPaprika ids, comma separated (e.g. btc-bitcoin,sol-solana); omit for the top list
limitNoTop list size, 1 to 100 (default 20)
quoteNoUSD, EUR, GBP, JPY, TRY, BTC, ETH (default USD)

Output Schema

NameRequiredDescriptionDefault
countNo
quoteNo
sourceNo
resultsNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and openWorldHint, but the description adds crucial behavioral context: data comes from CoinPaprika's public API, each successful call costs $0.002 in USDC via x402, and failed calls are not charged. This is valuable transparency beyond the annotations.

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 front-loaded with the core purpose and supported fields, followed by data source and pricing. It is dense but mostly earns its place; the long field enumeration is somewhat heavy given the output schema, but it helps convey the data shape.

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

Completeness5/5

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

With an output schema present, the description need not explain return values. Combined with annotations, 100% schema coverage, data source, pricing model, and usage modes, the definition gives an agent enough context to invoke the tool correctly.

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 description coverage is 100%, so all three parameters are already documented in the schema. The description repeats the quote currencies and ids examples but adds no syntax or usage detail beyond the schema, making the baseline 3 appropriate.

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 it returns crypto market tickers with specific fields, sourced from CoinPaprika. It is distinguishable in general terms, but it does not explicitly differentiate itself from closely related siblings such as finance_coinpaprika_tickers or finance_coinmarketcap, so it falls short of a 5.

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?

It indicates the two usage modes: top coins by rank or specific CoinPaprika ids. However, it gives no explicit guidance on when to choose this tool over the many sibling ticker/price tools, nor does it state when not to use it.

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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