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crypto_historical

Retrieve historical cryptocurrency price data for any symbol with customizable period and interval. Ideal for backtesting, trend analysis, and research.

Instructions

Get historical cryptocurrency price data.

Args: symbol: Crypto ticker (e.g., BTC, ETH, SOL) period: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, max interval: 1m, 5m, 15m, 30m, 1h, 1d, 1wk, 1mo

Examples: crypto_historical("BTC", "1y", "1d") → Bitcoin 1 year daily crypto_historical("ETH", "3mo", "1wk") → Ethereum 3 month weekly

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNo1mo
symbolYes
intervalNo1d

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It fails to mention any traits like rate limits, data source, error handling, or read-only nature. The agent gains no insight beyond the basic functionality.

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 extremely concise, consisting of a single line plus a bulleted list of args and two examples. Every sentence serves a purpose, and the structure is front-loaded with the core action.

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

Completeness3/5

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

Given the tool has an output schema, return values need not be explained. However, the description omits context like timezone, data source, or whether data is adjusted for splits/dividends. It is minimally complete for a simple historical data tool but leaves gaps.

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?

The input schema has 0% description coverage, so the description must compensate. It explicitly lists the three parameters (symbol, period, interval) and provides acceptable values and examples, which adds meaning beyond the schema's empty fields.

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 'Get historical cryptocurrency price data' with a specific verb and resource, and the examples further clarify the tool's purpose. It effectively distinguishes from siblings like crypto_price (current price) and stock_historical (stock data).

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as crypto_price for live prices or stock_historical for stocks. The description does not mention scenarios or exclusions, leaving the agent to infer usage from the name alone.

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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