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shigechika

jquants-mcp

by shigechika

get_sector_performance

Read-onlyIdempotent

Retrieve sector-level average price change rankings for a specific trading date, with options for 33 sub-sectors or 17 top-level sectors.

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 readOnly, idempotent, non-destructive. The description adds that it is 'cache-only, no API call', which is useful behavioral 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.

Conciseness5/5

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

Very concise: one-line purpose, then usage/alternatives, supported plans, parameter docs. No wasted words; every sentence adds value.

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?

Covers purpose, usage, alternatives, parameters, supported plans, and cache behavior. Output schema exists but not described, which is acceptable per rules. Complete for a read-only data retrieval tool.

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 coverage, the description fully explains both parameters: date format (YYYY-MM-DD or YYYYMMDD) and sector_type with default and values ('s33' for 33 sub-sectors, 's17' for 17 top-level). Adds meaning beyond the schema.

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?

Clearly states 'Sector-level average price change ranking' and provides Japanese/English keywords. Differentiates from siblings by explicitly naming alternative tools for other tasks.

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 describes when to use (for sector performance ranking) and when not (use get_sector_briefing for valuation, get_market_briefing for full briefing). Also mentions supported plans.

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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