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Crypto, web, finance and app data tools

Crypto Token Prices

crypto_token_prices

Current USD price and 24h change for up to 20 crypto tokens per call, by symbol (BTC, ETH, SOL, PEPE), CoinGecko id or chain:contract address (base:0x833589..., ethereum:0x...). Covers thousands of coins and on-chain tokens. Use for portfolio valuation, trading decisions or answering what a token costs now.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "tokens": "<tokens>"
    },
    "name": "crypto_token_prices"
  }
}

Input Schema

NameRequiredDescriptionDefault
tokensYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description must carry the full burden. It discloses the useful operational constraints — a 20-token batch ceiling and the accepted input formats — and 'Current' implies a read-only snapshot. It does not state data freshness/latency, rate limits, or how invalid or unknown tokens are handled.

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?

Three sentences, all load-bearing: what it returns, how to identify tokens, and when to use it. The batch limit and format examples are front-loaded before the use-case guidance.

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?

An output schema exists, so return-value shape need not be explained. The description covers scope, input formats, and batch limits, which is sufficient for a single-parameter read tool; only error/failure behavior remains unaddressed.

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?

Schema coverage is 0% and the single 'tokens' parameter is a bare string, so the description must compensate — and it does, listing symbol (BTC, ETH, SOL, PEPE), CoinGecko id, and chain:contract address forms with worked examples. It does not say explicitly whether multiple tokens are comma-separated or how the 20-max is enforced.

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+resource ('Current USD price and 24h change') with concrete scope: up to 20 tokens per call, three accepted identifier formats with examples. The word 'current' implicitly separates it from crypto_price_history and crypto_candles, but no sibling is named explicitly.

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

Usage Guidelines4/5

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

'Use for portfolio valuation, trading decisions or answering what a token costs now' gives clear usage context and steers toward spot pricing rather than historical data. It stops short of naming alternatives (crypto_coin_info, crypto_price_history, exchange_ticker) or stating 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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