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kevynf

AKBridge MCP Server

by kevynf

macro_shipping_bpi

Read-onlyIdempotent

Fetch the Baltic Panamax Index (BPI) from East Money to analyze Panamax shipping freight rate trends. Returns structured DataFrame data.

Instructions

巴拿马型运费指数(BPI) https://data.eastmoney.com/cjsj/hyzs_list_EMI00107665.html :return: 巴拿马型运费指数 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the description does not need to restate safety. It adds a source URL and return type (pandas.DataFrame), but does not disclose data frequency, historical scope, or any quirks of the data source. With annotations covering the safety profile, this is adequate but not rich.

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 very short (three lines) and gets to the point quickly. However, the first line duplicates the title, and the docstring-style return statement adds minimal value. The URL is useful but makes the description a bit noisy. Overall, it is appropriately sized but not perfectly concise.

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 no-parameter tool with annotations and no output schema, the description gives a source URL and return type, which is a reasonable baseline. However, it lacks details about the DataFrame contents (e.g., columns, date range, unit) and whether it provides historical data or just a snapshot. This is adequate for a simple tool but leaves room for improvement.

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 has zero parameters, so schema coverage is 100% by default. The baseline for parameter semantics is 4, and the description does not need to explain any parameters. It does confirm the return type, which is useful.

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 that the tool returns the 巴拿马型运费指数 (BPI), which is a specific resource. It distinguishes from sibling shipping indices (BCI, BDI) by its name and title, though the description itself is mostly a restatement of the title with a source URL and return type.

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 guidance on when to use this tool versus alternative shipping index tools. It does not specify that it is specifically for BPI or compare with related tools like macro_shipping_bdi, leaving the agent with no contextual selection cues.

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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