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shigechika

jquants-mcp

by shigechika

get_sector_performance

Read-onlyIdempotent

Retrieves sector-level average price change ranking for a given trading date. Use to compare performance of 33 or 17 industry sectors in the Japanese stock market.

Instructions

Sector-level average price change ranking (業種別騰落率). All plans.

Use for 業種別騰落率, セクター別パフォーマンス, 業種別ランキング, sector performance. For sector valuation (PER/PBR) use get_sector_briefing instead. For full market briefing use get_market_briefing instead.

[Supported plans] Free / Light / Standard / Premium (cache-only, no API call)

Args: date: Trading date (YYYY-MM-DD or YYYYMMDD). sector_type: "s33" (default, 33 sub-sectors) or "s17" (17 top-level).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
sector_typeNos33

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint. The description adds 'cache-only, no API call' and mentions supported plans, which provides additional context beyond annotations.

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?

Concise with clear sections, but includes redundant Japanese/English terms. Front-loaded with purpose, then usage guidance, then parameter details.

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

Completeness5/5

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

Given the tool's simplicity (2 parameters, 1 required), annotations, and output schema, the description is complete. It explains parameters, provides use cases, and notes plans.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by specifying date format and acceptable values for sector_type, including default and options (s33, s17).

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's purpose: 'Sector-level average price change ranking' and provides Japanese keywords. It also distinguishes from sibling tools by naming alternatives for sector valuation and full market briefing.

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

Usage Guidelines5/5

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

Explicitly specifies when to use this tool (e.g., for sector performance ranking) and when not to ('For sector valuation... use get_sector_briefing instead; For full market briefing use get_market_briefing instead').

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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