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kevynf

AKBridge MCP Server

by kevynf

futures_settle_ine

Read-onlyIdempotent

Retrieve daily settlement parameters from the Shanghai International Energy Exchange for a given date, returned as a pandas DataFrame for market analysis.

Instructions

上海国际能源交易中心-结算参数 https://www.ine.cn/reports/businessdata/prmsummary/ :param date: 结算参数日期 format: YYYY-MM-DD 或 YYYYMMDD 或 datetime.date对象,默认为当前交易日 :type date: str or datetime.date :return: 结算参数数据 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo20260119

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered structurally. The description adds the accepted date formats and the default value, plus the return container (pandas.DataFrame), but discloses nothing about data scope, latency, pagination, or the INE data source's quirks.

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?

Compact Sphinx-style docstring: purpose line, one param block, one return block, no filler. Front-loaded with the resource name, though the raw URL on the first line is mildly noisy.

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 single-parameter, read-only data-fetch tool with no output schema, stating the exchange scope, accepted date formats, default, and return type is essentially complete. Only the shape/naming of the returned DataFrame columns is left unspecified.

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 description coverage is 0%, so the description carries the burden and does so well: it enumerates three accepted date representations (YYYY-MM-DD, YYYYMMDD, datetime.date) and states the default is the current trading day, which the bare schema ('string', default 20260119) does not convey.

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 names a specific resource — INE (上海国际能源交易中心) settlement parameters — with the source URL, and the tool name plus this content clearly distinguish it from the sibling settlement tools (futures_settle_shfe, futures_settle_czce, futures_settle_gfex). It does not explicitly name the alternative tools, so it falls short of a 5, but the verb+resource+exchange scope is unambiguous.

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?

The default ('默认为当前交易日') implies the normal usage context of pulling the current trading day's settlement data, but there is no explicit when-to-use / when-not guidance and no cross-reference to the other exchange settlement tools. Usage is inferable rather than stated.

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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