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openstockdata

stock-data-mcp

获取板块成分股

stock_board_cons

Retrieve sector or concept board constituents with automatic multi-source failover.

Instructions

获取行业或概念板块的成分股列表。支持多数据源自动故障转移。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo返回数量(int)
board_nameYes板块名称,如: 酿酒行业、新能源、人工智能
board_typeNo板块类型: industry(行业), concept(概念)industry
Behavior3/5

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

With no annotations, the description mentions automatic failover across data sources, a useful behavioral trait, but omits details on rate limits, error handling, or data freshness.

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?

Two concise sentences with no redundancy, efficiently conveying core functionality and a key feature (failover).

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?

Lacks output schema and does not describe return format or fields; adequate for a list tool but incomplete for an agent expecting detailed response structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description provides no additional meaning beyond schema; board_type example values are already in the schema description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves constituent stock lists of industry or concept sectors, matching the tool name and distinguishing it from other stock-related siblings like stock_realtime or stock_prices.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description indicates support for industry/concept types via board_type parameter but offers no explicit guidance on when to use this tool versus alternatives or prerequisites for usage.

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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