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kevynf

AKBridge MCP Server

by kevynf

stock_board_concept_cons_em

Read-onlyIdempotent

Retrieve constituent stocks of a concept board from Eastmoney for Shanghai and Shenzhen markets using the board name or code, returning a pandas DataFrame.

Instructions

东方财富-沪深板块-概念板块-板块成份 https://quote.eastmoney.com/center/boardlist.html#boards-BK06551 :param symbol: 板块名称或者板块代码 :type symbol: str :return: 板块成份 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo融资融券

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds the data source and return type (pandas.DataFrame) but nothing about pagination, throttling, or result shape. Some added value, 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.

Conciseness3/5

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

The summary line is front-loaded, which is good, but the raw URL and docstring :param:/:rtype: scaffolding add clutter rather than information. Adequate but not tightly structured for agent consumption.

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 single-parameter read-only tool, the description covers source, parameter meaning, and return type, with annotations supplying the behavioral profile. No output schema exists, and the rtype note is a reasonable stand-in. Mostly complete, though endpoint scope/limitations are unstated.

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?

Schema description coverage is 0%, so the description carries the param burden. It states that symbol accepts either a board name or a board code (板块名称或者板块代码), which is meaningful clarification beyond the bare schema string default of '融资融券'.

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 names a specific resource and source: Eastmoney Shanghai/Shenzhen concept-board constituents (板块成份). The '概念板块' qualifier distinguishes it from the industry-board sibling stock_board_industry_cons_em. It lacks an explicit verb, but an agent can tell what data it returns.

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 versus alternatives such as stock_board_concept_name_em or stock_board_concept_hist_em. It is a bare docstring with no context, exclusions, or prerequisites.

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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