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Wh0FF24

crypto-data-mcp

by Wh0FF24

get_market_overview

Retrieve a snapshot of the entire cryptocurrency market including market cap, volume, dominance, sentiment index, and top gainers/losers to assess macro conditions before analyzing individual tokens.

Instructions

Get a broad snapshot of the entire cryptocurrency market. Returns total market capitalisation, 24-hour trading volume, Bitcoin dominance percentage, Ethereum dominance percentage, total number of active cryptocurrencies, the Fear and Greed index (0-100, where 0 is Extreme Fear and 100 is Extreme Greed), the top 5 gainers and top 5 losers by 24-hour price change. Use this tool when you want macro context before analysing individual tokens, or when the user asks about overall market sentiment, bull/bear conditions, or which tokens are moving most. Takes no parameters. Data is sourced from CoinGecko global endpoints and the Alternative.me Fear and Greed index.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Describes returns in detail, mentions data sources (CoinGecko, Alternative.me), and notes it takes no parameters. No destructive effects implied. Lacks mention of data freshness or rate limits, but for a read-only no-param tool this is sufficient.

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?

Concise yet informative. Purpose stated first, then returns, usage guidance, and data source. Every sentence adds value with no redundancy.

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?

Provides enough context for an agent to decide when to use it. Since output schema exists, agent can see structured return details. Could mention the output schema explicitly, but not necessary.

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?

No parameters exist, so no additional semantics needed beyond noting 'takes no parameters.' Schema coverage is 100%. Baseline for 0 params is 4, and the description meets that.

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?

Clearly states it gets a broad snapshot of the entire cryptocurrency market and lists specific data returned (market cap, volume, dominance, etc.). Distinguishes well from sibling tools that focus on individual tokens or prices.

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?

Explicitly says when to use: for macro context before individual analysis or when user asks about market sentiment. Does not explicitly state when not to use, but the sibling list implies it is not for single token queries.

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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