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kevynf

AKBridge MCP Server

by kevynf

macro_china_bond_public

Read-onlyIdempotent

Retrieve China bond issuance data from official disclosures. Get structured DataFrames of new bond offerings for analysis.

Instructions

中国-债券信息披露-债券发行 https://www.chinamoney.com.cn/chinese/xzjfx/ :return: 债券发行 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations already declare read-only and idempotent behavior, and the description adds only the source URL and return type. It does not disclose data scope, columns, or any other behavioral details beyond what annotations already cover.

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 brief and front-loaded with the title, followed by a useful URL and return type. It is appropriately sized for a zero-parameter tool, though it omits some useful detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should clarify the shape of the returned DataFrame. It only states 'bond issuance' without detailing columns, date range, or data granularity, leaving significant ambiguity for an agent.

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 there is nothing to document. The description correctly implies no inputs are needed, and the schema confirms this with 100% coverage.

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 tool as retrieving Chinese bond issuance data from chinamoney.com.cn, with a return type of pandas.DataFrame. However, it lacks an explicit verb like 'fetch' or 'query' and does not differentiate from sibling bond-related tools.

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 provided on when to use this tool versus alternatives. It only supplies a source URL and return type, with no exclusions or references to other tools.

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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