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DeepFusion MCP Server

获取合约持仓量

crypto_open_interest

Fetch open interest data for Binance perpetual contracts by symbol, enabling market positioning analysis and informed trading decisions.

Instructions

获取Binance永续合约的持仓量数据

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo币种,格式: BTC 或 ETH 或 BTC-USDTBTC

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It conveys a read-like action ('获取') but does not explain whether the data returned is current or historical, the time range, units, or any rate/response characteristics. This is minimal behavioral context.

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?

The description is a single efficient sentence with no filler or repetition. It is appropriately sized for a one-parameter tool, though it is sparse and could convey slightly more useful context without becoming verbose.

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?

For a simple one-parameter read tool, the description is minimally viable: it names the data source and resource type. However, with no output schema, the description does not clarify the return shape (e.g., current value vs. series), which is a notable gap for a data-retrieval 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 description coverage is 100%, and the single optional symbol parameter is adequately documented with a default and format examples. The tool description itself does not add parameter meaning beyond the schema, so the baseline score of 3 applies.

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 states a specific verb (获取/get) and a specific resource (Binance perpetual contract open interest data), which clearly differentiates it from sibling tools like crypto_funding_rate, crypto_prices, and futures_positions. The title and description are consistent and unambiguous.

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?

The description provides no guidance on when to use this tool versus alternatives such as futures_positions or crypto_funding_rate. There are no stated conditions, exclusions, or references to other tools, so the agent must infer usage 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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