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get_crypto_price

Fetch current cryptocurrency price data including USD price, 24h change, 7d change, market cap, and 24h volume. Supports 5000+ coins including BTC, ETH, SOL, DOGE, XRP, ADA, AVAX, MATIC, and more. Data updates every 5 minutes from cryptorates.ai. Rate-limited to 30 requests per 60 seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesCryptocurrency symbol (uppercase). Examples: BTC, ETH, SOL, DOGE, XRP, ADA, AVAX, MATIC, DOT, LINK, UNI, ATOM, FTM, NEAR, ALGO, VET, ICP, FIL, EGLD, THETA, XTZ, RUNE, CRO, KCS, HNT, MKR, AAVE, SNX, CRV, CAKE, SUSHI, UST, LUNC, etc.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the data source (cryptorates.ai), update cadence, and rate limit, making the fetch behavior transparent. It does not explicitly state it is read-only, but the nature of retrieving price data makes that obvious.

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?

The description is a single, well-structured sentence that efficiently conveys purpose, supported coins, data source, update frequency, and rate limit. No redundant or extraneous information.

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?

For a simple one-parameter tool with no output schema, the description provides sufficient context: what it returns, how often data is updated, and usage limits. Nothing critical is missing for an agent to decide when and how to call it.

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?

The schema itself provides 100% coverage of the single 'symbol' parameter with a long list of examples. The description does not add additional semantic detail beyond the schema, so the baseline score of 3 is appropriate.

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 clearly states the tool fetches current cryptocurrency price data and specifies the exact data points (USD price, 24h change, 7d change, market cap, 24h volume). It is unambiguous and distinct from the sibling article tools.

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?

While it doesn't explicitly state 'use when you need a current price', the purpose is so clear that usage is implied. It provides useful operational context including the 5000+ coin support, 5-minute update frequency, and rate limit of 30 requests per 60 seconds.

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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