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kevynf

AKBridge MCP Server

by kevynf

rv_from_futures_zh_minute_sina

Read-onlyIdempotent

Fetch and clean minute-level historical futures quotes from Sina Finance for a specified contract and interval (1, 5, 15, 30, or 60 minutes), returning a formatted pandas DataFrame.

Instructions

从新浪财经获取期货的分钟级历史行情数据,并进行数据清洗和格式化 https://vip.stock.finance.sina.com.cn/quotes_service/view/qihuohangqing.html#titlePos_3 :param symbol: 期货合约代码,如"IF2008"代表沪深300期货2020年8月合约 :type symbol: str :param period: 时间周期,可选{'1','5','15','30','60'}分钟 :type period: str :return: 整理后的分钟行情数据,包含Date(索引),Open,High,Low,Close列 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNo5
symbolNoIF2008

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, so the safety profile is covered. Beyond that the description usefully discloses that data is cleaned and reformatted and that the result is a pandas.DataFrame with Date(index), Open, High, Low, Close — information not present in any structured field since there is no output schema.

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 core action and source are front-loaded in the first sentence, followed by efficient param/return documentation. The raw URL is somewhat extraneous but the overall block is well-structured and not bloated.

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?

For a simple two-parameter read tool with annotations covering safety and an explicitly described return frame, the description supplies everything needed to call it correctly. Only the missing sibling differentiation keeps it from being fully complete.

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?

Schema coverage is 0% (bare string params, no enum), so the description must compensate and it largely does: it gives a concrete symbol example (IF2008 as the HS300 2020-08 contract) and enumerates the valid period values {'1','5','15','30','60'} minutes, which are absent from the 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?

States a specific verb (获取) and resource (期货分钟级历史行情数据) and names the data source (新浪财经). An agent can tell this fetches minute-level futures history, though the 'rv_from_' prefix is unexplained and the near-identical sibling futures_zh_minute_sina isn't distinguished.

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 statement of when to use this tool versus alternatives. Given a sibling named futures_zh_minute_sina that appears to be the raw underlying call, the absence of any routing guidance is a real gap.

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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