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kevynf

AKBridge MCP Server

by kevynf

index_inner_quote_sugar_msweet

Read-onlyIdempotent

Retrieves the in-quota imported sugar estimation index from Mutian Technology, delivering pandas DataFrames for trade and financial analysis.

Instructions

沐甜科技数据中心-配额内进口糖估算指数 https://www.msweet.com.cn/mtkj/sjzx13/index.html :return: 配额内进口糖估算指数 :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, idempotentHint, and destructiveHint=false, covering behavioral safety. The description adds the return type (pandas.DataFrame) and the source URL, but provides no additional context like data granularity, update frequency, or special behaviors. It gives minimal extra value beyond annotations.

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

Conciseness5/5

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

The description is exceptionally concise, consisting of a single line describing the index, a source URL, and return type. Every piece of information earns its place, and it is front-loaded with the tool's purpose. There is no redundant or filler content.

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's simplicity (zero parameters, read-only, clear annotations, no output schema), the description is largely complete. It identifies the data source, the exact index name, and the return type. It could theoretically specify column names or data range, but these are not strictly necessary for a straightforward retrieval tool.

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 and the schema is complete (100% coverage), so no parameter explanation is needed. The description appropriately focuses on the output rather than parameter details, aligning with the baseline for parameterless tools.

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 states the tool returns a specific index (配额内进口糖估算指数) from Mutian Tech, making the purpose understandable. However, it does not explicitly differentiate itself from closely related siblings like index_outer_quote_sugar_msweet or index_sugar_msweet, leaving some ambiguity for an agent comparing options.

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?

The description offers no explicit guidance on when to use this tool vs alternatives. It does not mention related tools or exclusion criteria, relying solely on the tool name and description to imply its use case.

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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