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kevynf

AKBridge MCP Server

by kevynf

crypto_js_spot

Read-onlyIdempotent

Fetches real-time spot market data for major cryptocurrencies via AKShare, returning a pandas DataFrame for a specific timestamp.

Instructions

主流加密货币的实时行情数据,一次请求返回具体某一时刻行情数据 https://datacenter.jin10.com/reportType/dc_bitcoin_current :return: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds the useful nuance that this is a point-in-time snapshot ('具体某一时刻'), which matters for a market-data tool, but says nothing about rate limits, freshness, or which assets are covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose sentence is front-loaded and terse, but the raw source URL and the Python docstring artifact ':return: pandas.DataFrame' are noise that do not help an agent select or invoke the tool. Cutting them would leave a cleaner two-sentence definition.

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 zero-param, annotation-backed tool the description is close to adequate, but it never enumerates the covered cryptocurrencies or the shape of the returned DataFrame, and there is no output schema to fill that gap. An agent knows roughly what it gets but not which assets or columns.

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

Parameters4/5

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

The tool takes zero parameters and schema coverage is 100%, so the baseline is 4. There are no parameter semantics to explain, and the description adds no misleading parameter hints.

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?

The description states a clear verb+resource: real-time quote data (行情数据) for mainstream cryptocurrencies, returning a point-in-time snapshot. It is not a tautology, but it never distinguishes itself from the crypto siblings (crypto_bitcoin_cme, crypto_bitcoin_hold_report), which an agent could easily confuse it with.

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?

There is no when-to-use/when-not guidance and no alternatives named. The phrase 'one request returns a single moment's data' implies a snapshot rather than a history series, but the agent must infer that this is for current spot pricing versus the CME/hold-report crypto siblings.

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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