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kevynf

AKBridge MCP Server

by kevynf

fund_report_asset_allocation_cninfo

Read-onlyIdempotent

Fetch fund asset allocation data from CNInfo's thematic statistics. Provides structured financial reports for analysis.

Instructions

巨潮资讯-数据中心-专题统计-基金报表-基金资产配置 https://webapi.cninfo.com.cn/#/thematicStatistics :return: 基金资产配置 :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 read-only and non-destructive behavior. The description adds the return type (pandas.DataFrame) and source URL, which is useful, but does not disclose other behavioral traits such as data granularity, update frequency, or whether any authentication is required.

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 concise, with the core title front-loaded. The embedded URL and docstring add some value but could be better structured. It does not suffer from verbosity or redundancy.

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?

With no output schema and no parameters, the description carries the burden of explaining what the returned data contains. It only states 'fund asset allocation' and the DataFrame type, leaving the exact columns, time period, and scope ambiguous. It is minimally viable but has clear gaps.

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?

Since the tool takes zero parameters, parameter semantics is inherently satisfied. The description adds context by specifying the return type as pandas.DataFrame, which is helpful even though no parameter documentation is needed.

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 data source (CNINFO Data Center) and the specific report (fund asset allocation), distinguishing it from sibling tools like fund_report_industry_allocation_cninfo and fund_report_stock_cninfo. However, it lacks an explicit action verb, functioning more as a title than a statement of what the tool does.

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 does not mention use cases, prerequisites, or relationships to other fund report 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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