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CryptoQuantOfficial

CryptoQuant MCP Server

Official

discover_endpoints

Find accessible API endpoints by asset and category. Returns endpoint paths with parameter options (e.g., window) for use with query_data.

Instructions

Discover available API endpoints for a specific asset and category. Call initialize() first to get valid asset/category combinations. Returns endpoint paths and parameter options (e.g., window: ['day', 'hour']). Use returned paths with query_data().

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetNoAsset to discover endpoints for. Omit for all assets.
categoryNoCategory filter (e.g., market-data, exchange-flows, network-data, miner-flows, etc.)
queryNoSearch term to filter endpoints by path or metric name
include_restrictedNoInclude endpoints not available on your current plan
Behavior4/5

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

Describes return format (endpoint paths and parameter options with example), but no annotations are provided; description carries burden and is adequate but lacks detail on side effects or auth.

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?

Three sentences, each adding distinct value: purpose, prerequisite, post-usage and example. No redundancy.

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?

Given no output schema and 4 optional params, description covers purpose, prerequisite, and example output; lacks full output specification but is fairly complete for a discovery tool.

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 has 100% description coverage for all 4 parameters; description adds only contextual usage (initialize, query_data) but no extra parameter-specific semantics beyond what schema already provides.

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?

Clearly states it 'Discover available API endpoints' for a specific asset and category, differentiating from siblings like initialize and query_data.

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

Usage Guidelines5/5

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

Explicitly instructs to call initialize() first and use returned paths with query_data(), providing clear workflow context.

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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