Skip to main content
Glama
appydam

QuantXData MCP Server

by appydam

get_histohour

Retrieve hourly open, high, low, close, and volume (OHLCV) data for cryptocurrency pairs from a chosen exchange. Provides historical price data in a CryptoCompare-compatible format for market analysis.

Instructions

Get hourly OHLCV data (CryptoCompare-compatible format)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eYesExchange name
fsymYesFrom symbol
toTsNoEnd timestamp (Unix)
tsymYesTo symbol
limitNoMax results
aggregateNoAggregation period
Behavior2/5

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

No annotations exist, so the description is the only source. It adds minimal context such as 'CryptoCompare-compatible format' but doesn't disclose pagination, default limits, aggregation behavior, or response structure beyond that.

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?

One short sentence that is front-loaded and free of filler.

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

Completeness2/5

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

Given the tool has 6 parameters, no output schema, and no annotations, the description is thin. It lacks information on return format details, default behavior for optional parameters, and how aggregate affects results.

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 covers all 6 parameters with descriptions (100% coverage), so the description doesn't need to add parameter details. It doesn't, but the schema suffices.

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?

Description uses specific verb 'Get' and resource 'hourly OHLCV data', clearly distinguishing from sibling tools like get_histoday and get_histominute by granularity and from trade/orderbook tools by OHLCV.

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

Usage Guidelines3/5

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

No explicit when-to-use or alternatives are mentioned. The hourly granularity is implied by the name and description, but there's no guidance on choosing this over get_ohlcv or other granularities.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/appydam/quantxdata-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server