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forgequant

CoinGlass MCP Server

by forgequant

CoinGlass Price History

coinglass_price_history
Read-onlyIdempotent

Retrieve historical OHLC price data for cryptocurrency trading pairs to perform technical analysis and charting with candlestick information.

Instructions

Get historical OHLC price data for a specific trading pair.

Returns candlestick data with timestamp, open, high, low, close, and volume. Useful for technical analysis and charting.

Note: Smaller intervals (m1, m5, m15) require Standard+ plan.

Examples: - Hourly BTC: exchange="Binance", pair="BTCUSDT", interval="h1" - Daily ETH: exchange="OKX", pair="ETHUSDT", interval="d1"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
exchangeYesExchange name (e.g., 'Binance', 'OKX', 'Bybit')
pairYesTrading pair (e.g., 'BTCUSDT', 'ETHUSDT')
intervalYesCandle interval: m1, m5, m15, m30, h1, h4, d1
limitNoNumber of candles to return

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds valuable behavioral context beyond annotations: the plan requirement for smaller intervals (m1, m5, m15) and the specific data structure returned (candlestick data with timestamp, open, high, low, close, volume).

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 well-structured and appropriately sized. It starts with the core purpose, adds return format and usage context, includes an important note about plan requirements, and provides concrete examples. Every sentence earns its place with no wasted words.

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?

Given the comprehensive annotations (readOnly, idempotent, non-destructive), 100% schema coverage, and the presence of an output schema, the description provides complete context. It covers purpose, usage, behavioral constraints (plan requirements), and includes helpful examples without needing to explain return values or safety aspects already covered by annotations.

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?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal parameter semantics beyond the schema - it provides examples showing how parameters combine but doesn't explain parameter meanings or constraints beyond what's in the schema descriptions.

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's purpose with specific verb ('Get') and resource ('historical OHLC price data for a specific trading pair'). It distinguishes from sibling tools by focusing on price history rather than funding, liquidation, or other market data types.

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?

The description provides clear context for when to use this tool ('Useful for technical analysis and charting') and includes a note about plan requirements for smaller intervals. However, it doesn't explicitly mention when NOT to use it or name specific alternatives among the sibling tools.

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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