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Crypto, web, finance and app data tools

Crypto Coin Profile

crypto_coin_info

Full profile of a coin by symbol or CoinGecko id: description, website, X/Twitter, GitHub, categories, contract addresses per chain, price, market cap, FDV, volume, 24h/7d/30d/1y change, all-time high/low and supply. Use for token research or due diligence.

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": {
      "coin": "<coin>"
    },
    "name": "crypto_coin_info"
  }
}

Input Schema

NameRequiredDescriptionDefault
coinYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior3/5

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

No annotations, so the description carries the full burden. It implies a read-only lookup and discloses the breadth of returned data, but says nothing about data freshness/source lag, rate limits, or behavior when a symbol is ambiguous across chains or not found — all material for an agent calling a CoinGecko-backed endpoint.

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 core action, then the field inventory, then usage. The long field enumeration is dense but each item is a distinct payload dimension; it could be trimmed since an output schema already exists.

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?

With an output schema present, enumerating return fields is redundant but harmless; input forms and intent are covered. Gaps are operational (error/not-found handling, data currency) rather than structural, which is acceptable for a single-parameter lookup.

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 only field is a bare 'coin' string. The description compensates by naming both accepted forms (ticker symbol or CoinGecko id), which is exactly the information the schema omits. It stops short of stating format expectations or ambiguity resolution.

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?

States a specific resource ('full profile of a coin') and the two accepted identifiers (symbol or CoinGecko id), which immediately separates it from price-only siblings like crypto_token_prices or list-oriented tools like crypto_top_coins. An agent can pick it without opening the schema.

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 token research or due diligence' gives a clear use context, but no explicit exclusions or named alternatives (e.g., use crypto_token_prices for a pure price quote). The guidance is directional rather than routing.

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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