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kevynf

AKBridge MCP Server

by kevynf

macro_china_daily_energy

Read-onlyIdempotent

Retrieve daily coastal six major power plant coal inventory data for China from 2016 to present to track energy supply trends.

Instructions

中国日度沿海六大电库存数据,数据区间从20160101-至今 https://datacenter.jin10.com/reportType/dc_qihuo_energy_report :return: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the temporal coverage (2016-01-01 to present) and return type (pandas.DataFrame), which is useful context beyond annotations. However, it does not disclose rate limits, authentication needs, or update frequency.

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 short and front-loads the core subject (the data content) before the URL and return type. It is efficient, though the return type annotation could be considered slightly redundant with the structured schema context.

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 the tool has no parameters and no output schema, the description provides adequate context: the data source, temporal coverage, and return type. It could be more complete by describing the columns or update frequency, but it is sufficient for an agent to understand what the tool returns.

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 no parameters, so the baseline score is 4. The description does not need to explain parameter semantics, and it correctly provides no parameter-related information.

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 clearly identifies the resource: daily coastal six major power plant inventory data for China, with the date range and source URL. It is specific enough to distinguish from other macro_china tools, though it lacks an explicit verb like 'fetch' or 'retrieve'.

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?

No guidance is given on when to use this tool versus alternatives. There is no mention of exclusions, prerequisites, or how it relates to sibling data sources.

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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