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shigechika

jquants-mcp

by shigechika

detect_consecutive_dividend_increase

Read-onlyIdempotent

Screen Japanese stocks for consecutive annual dividend increases. Specify minimum years and optional cutoff date for lookahead-free backtesting.

Instructions

Screen for stocks with consecutive annual dividend increases (連続増配). All plans.

Use for 連続増配・dividend growth・増配継続 queries. NOTE: consecutive dividend growth alone does NOT guarantee outperformance on a risk-adjusted basis. Consider combining results with yield and payout ratio filters for investment decisions.

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

Args: min_years: Minimum number of consecutive years of dividend increase (default 10). as_of_date: Cut-off date for disclosures (YYYY-MM-DD or YYYYMMDD). Disclosures after this date are excluded, enabling lookahead-free back-testing. Defaults to all available data.

Returns: Matching stocks sorted by consecutive_years descending. Each item contains code, name, consecutive_years, latest_div_ann (split-adjusted, current per-share), latest_fy_end, and a history list of recent years.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_yearsNo
as_of_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Annotations (readOnlyHint, idempotentHint) are consistent; description adds critical context: 'cache-only, no API call', lookahead-free backtesting via as_of_date, and sorted results.

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?

Efficient structure: purpose, usage, plans, params, returns. Every sentence adds value; 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?

Complete for a screening tool: explains params, return fields, and usage constraints (plans, backtesting). No gaps given output schema presence.

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?

Despite 0% schema coverage, description explains both parameters: min_years (default 10) and as_of_date (format, purpose for backtesting). Adds meaning beyond bare 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 'Screen for stocks with consecutive annual dividend increases' with specific verb, resource, and criterion. Distinguished from siblings like detect_52w_high_low.

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?

Explicit use cases given ('連続増配・dividend growth・増配継続 queries') and a caution about combining with other filters. No explicit when-not-to-use, but guidance 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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