Skip to main content
Glama
kevynf

AKBridge MCP Server

by kevynf

fund_etf_fund_daily_em

Read-onlyIdempotent

Fetch current trading day's data for all exchange-traded funds (ETFs) from East Money. Returns a structured DataFrame of on-exchange fund metrics for analysis.

Instructions

东方财富网-天天基金网-基金数据-场内交易基金 https://fund.eastmoney.com/cnjy_dwjz.html :return: 当前交易日的所有场内交易基金数据 :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, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that it returns data for the current trading day and as a pandas.DataFrame, but does not disclose other behavioral traits like data columns, pagination, or potential latency. This is adequate but minimal.

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 to the point, with a clear structure: source, scope, return type. The first line repeats the title, but it is not harmful. Every sentence contributes, and there is no fluff.

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?

For a no-parameter, read-only data retrieval tool, the description provides the essential context: data source URL, what data is returned (all on-exchange funds for current trading day), and return type. It could list columns or edge cases, but given the simplicity and existing annotations, it is reasonably complete.

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 the description does not need to explain parameter syntax. It still adds value by specifying the return type (pandas.DataFrame) and the data scope (current trading day), which is sufficient for a no-parameter data retrieval function.

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 it returns all on-exchange (场内交易) fund data for the current trading day, with a specific verb and resource. It is distinguishable from sibling fund tools by the '场内交易基金' scope, though it does not explicitly name any alternative.

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 similar fund daily tools (e.g., fund_etf_spot_em, fund_open_fund_daily_em). There are no explicit exclusions or alternatives, so an agent has to infer usage purely from the tool name and category.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kevynf/akbridge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server