Skip to main content
Glama
AlgoChains

AlgoChains MCP Server

Official
by AlgoChains

query_data_warehouse

Read-onlyIdempotent

Query AlgoChains data warehouses to access billions of rows of historical OHLCV data for crypto, stocks, and forex, enabling backtesting of trading strategies.

Instructions

Query AlgoChains data warehouses (Builder tier $199/mo). Access 3.09B+ rows: 409M crypto, 1.3B stocks, 1.4B forex minute bars. Returns OHLCV data for backtesting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
tickerYes
end_dateNoYYYY-MM-DD
start_dateNoYYYY-MM-DD
asset_classYes
Behavior3/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint. Description adds return data type (OHLCV) and data scale, but no further behavioral details like pagination or limits.

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?

Three sentences, front-loaded with action and data size. Concise and efficient, though slightly lacking structure.

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?

Covers main purpose and data available, but lacks output schema and detailed parameter context, leaving some gaps for agent understanding of exact return format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is low (40%) and description does not explain individual parameters beyond stating tool purpose. No additional meanings for ticker, limit, or date formats beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it queries historical OHLCV data for backtesting, with specific data sources and row counts. However, it does not explicitly differentiate from sibling tools like get_quote, but purpose is distinct enough.

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?

Mentions Builder tier pricing as prerequisite and indicates use for backtesting, but lacks explicit guidance on when to use versus alternatives or when not to use.

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/AlgoChains/algochains-mcp-server'

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