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shigechika

jquants-mcp

by shigechika

get_bulk_list

Read-onlyIdempotent

List available bulk CSV files for a dataset endpoint. Returns file keys, timestamps, and sizes to initiate a bulk download.

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 read-only, non-destructive, idempotent, open-world. Description adds workflow timeout (5 min), return values (file keys, timestamps, sizes), and plan restrictions, providing 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.

Conciseness4/5

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

Well-structured with purpose first, then workflow, return info, plans, and args. Each sentence adds value. Slightly verbose but no fluff.

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?

For a simple tool (one param), description covers purpose, usage, workflow, return values, accepted values. Output schema exists, so full return format not needed. Complete.

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 for the single parameter, but description lists accepted endpoint values, compensating for the lack of schema documentation.

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 is 'Step 1 of bulk CSV download: list available files for a dataset' with specific use cases (一括DL, bulk download, CSV ダウンロード). It distinguishes from sibling tools by describing its place in a workflow (get_bulk_list → get_bulk_download_url).

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?

Explicitly mentions when to use (bulk download, CSV download) and provides workflow sequence. Supported plans are noted. Does not explicitly exclude alternatives, but context is clear.

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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