Skip to main content
Glama
shigechika

jquants-mcp

by shigechika

get_value_stock_screen

Read-onlyIdempotent

Find undervalued Japanese stocks near 52-week lows that combine high forward dividend yields with forecast profit growth to identify compelling value opportunities.

Instructions

Screen value stocks near their 52-week low with high forward dividend yield and a profit-increase forecast (年安・割安・高配当・好決算スクリーニング). All plans.

Use for 年安 割安 高配当 好決算, 年安圏の割安高配当株, バリュー株総合スクリーニング, value stocks near 52-week low, undervalued high-dividend profit-growth screen. ALL criteria must hold: close within near_low_pct % of the split-adjusted 52-week low (or a fresh 52w low touched that day), PER < max_per AND PBR < max_pbr (latest FY EPS/BPS, split-adjusted), forward dividend yield

= min_yield % (NxFDivAnn > FDivAnn priority, same as get_dividend_yield_ranking), and — by default — a forward net-profit forecast above the latest FY actual (NxFNp/FNP > NP = 増益予想). REITs are excluded (different accounting semantics; use get_dividend_yield_ranking for REIT yields). For a single criterion use get_valuation_ranking / get_dividend_yield_ranking / detect_52w_high_low. Included in get_market_briefing as the value_screen section. Each item also carries margin_ratio (信用倍率 = LongVol/ShrtVol, latest weekly margin interest) and margin_date — null on Free/Light plans or when the stock has no margin data.

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

Args: n: Stocks to return (1–100, default 20). near_low_pct: Max % distance of close above the 52-week low (0–100, default 5.0). max_per: PER upper bound, exclusive (default 15.0). Net-loss stocks (EPS<=0) never match. max_pbr: PBR upper bound, exclusive (default 1.0). Negative-book stocks (BPS<=0) never match. min_yield: Minimum forward dividend yield % (default 3.5). require_profit_increase: Require forward net profit > latest FY actual, both disclosed (default True). disc_months: Max disclosure age in months for financials and dividend forecasts (default 18). market: "prime" / "standard" / "growth" / "tokyo_pro" (default all). sector: S33 sector code filter (default all). date: Trading date (YYYY-MM-DD or YYYYMMDD, default latest cached).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNo
dateNo
marketNo
sectorNo
max_pbrNo
max_perNo
min_yieldNo
disc_monthsNo
near_low_pctNo
require_profit_increaseNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

The description discloses many behavioral details beyond annotations: all criteria must hold, dividend-yield priority rule (NxFDivAnn > FDivAnn), REITs excluded, margin_ratio/margin_date null on Free/Light plans, cache-only invocation, and edge cases like net-loss or negative-book stocks never matching. These add significant context beyond the read-only and idempotent hints. No contradiction with 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 long but highly structured: summary sentence, keyword aliases, detailed criteria, exclusions, plan notes, and an Args section. Every sentence adds value and the organization makes it easy to scan even with its length.

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 10-parameter screen with no schema descriptions, the description is remarkably complete: it explains all criteria, defaults, edge cases, plan limits, and output nuances like margin_ratio null behavior. An output schema exists, so return values are covered; the description fills all other contextual gaps.

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?

The input schema has 0% description coverage, but the description contains a full Args block explaining every parameter with defaults, ranges, and edge-case semantics (e.g., 'Net-loss stocks (EPS<=0) never match'). This fully compensates for the schema's lack of descriptions, adding meaning far beyond the property titles.

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 opens with a specific verb and resource: 'Screen value stocks near their 52-week low with high forward dividend yield and a profit-increase forecast.' It clearly lists criteria and explicitly distinguishes itself from sibling tools (e.g., 'For a single criterion use get_valuation_ranking / get_dividend_yield_ranking / detect_52w_high_low') and notes it is included in get_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?

Provides explicit usage guidance: Japanese/English keyword aliases, a direct statement that single-criterion alternatives should be used, REIT exclusion with a pointer to get_dividend_yield_ranking, and supported plan information. This is far beyond a vague 'use when you need...' statement.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shigechika/jquants-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server