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shigechika

jquants-mcp

by shigechika

get_bulk_list

Read-onlyIdempotent

Find available CSV files for bulk download from a J-Quants dataset endpoint. Returns file keys and metadata to generate a download URL.

Instructions

Step 1 of bulk CSV download: list available files for a dataset (一括DL). Light+.

Use for 全データ一括ダウンロード, bulk download, CSV ダウンロード, 全銘柄データ取得. Workflow: get_bulk_list → get_bulk_download_url(Key) → download URL within 5 minutes.

Returns file keys (Key), last-modified timestamps, and file sizes.

[Supported plans] Light / Standard / Premium

Args: endpoint: Dataset endpoint name (e.g. /equities/bars/daily). Accepted values: /equities/master, /equities/bars/daily, /equities/bars/minute, /equities/investor-types, /fins/summary, /fins/details, /fins/dividend, /indices/bars/daily, /indices/bars/daily/topix, /derivatives/bars/daily/futures, /derivatives/bars/daily/options, /derivatives/bars/daily/options/225, /markets/margin-interest, /markets/margin-alert, /markets/short-ratio, /markets/short-sale-report, /markets/breakdown, /equities/trades

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointYes

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 readOnly and idempotent. Description adds that it returns file keys, timestamps, and sizes, and notes a 5-minute validity for download URLs. Adds value 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?

Description is detailed and structured with sections. Slightly verbose but front-loaded with main purpose. Efficient for its content.

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 single parameter with full enumeration, output schema present, and annotations, description covers purpose, workflow, supported plans, and return fields completely.

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?

Schema has 0% coverage, but description lists all accepted endpoint values explicitly, providing full meaning beyond the generic string type.

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?

Description clearly states it is step 1 of bulk CSV download, listing available files for a dataset. It uses specific verbs and resources and distinguishes from sibling tools via workflow mention.

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

Usage Guidelines4/5

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

Description explicitly lists use cases (bulk download, CSV download) and workflow steps. It does not explicitly state when not to use, but provides clear context.

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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