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shigechika

jquants-mcp

by shigechika

get_top_turnover_value

Read-onlyIdempotent

Retrieve stocks ranked by turnover value (price × volume) for a specified trading date. Useful for identifying actively traded stocks.

Instructions

Return top stocks by turnover value (売買代金ランキング) on a given date. All plans.

Use for 売買代金ランキング・売買代金・turnover・trading value queries. Ranks by price×volume (get_top_volume ranks by share count instead).

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

Args: date: Trading date (YYYY-MM-DD or YYYYMMDD). n: Number of stocks to return (1–100). Default 10.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
nNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate readOnlyHint and destructiveHint, but the description adds that it's cache-only and no API call for supported plans, providing useful behavioral context beyond annotations. Does not contradict 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?

The description is concise and well-structured: a clear purpose line, usage note, sibling distinction, supported plans, and parameter details. Every sentence adds value with no redundancy.

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 presence of an output schema, the description does not need to explain return values. It covers purpose, usage, alternatives, parameters, and plan limitations comprehensively, making it complete for correct tool selection and invocation.

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?

Input schema has 0% description coverage, so description compensates by specifying date format (YYYY-MM-DD or YYYYMMDD) and n range (1–100, default 10), adding crucial meaning beyond the raw 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?

The description clearly states it returns top stocks by turnover value on a given date, with Japanese keywords. It distinguishes from the sibling get_top_volume by noting the ranking difference (price×volume vs share count), making its purpose unambiguous.

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 lists when to use (turnover query keywords) and contrasts with get_top_volume. Also mentions 'All plans' and 'cache-only, no API call', providing clear guidance on when this tool is appropriate.

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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