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shigechika

jquants-mcp

by shigechika

cache_status

Read-onlyIdempotent

View database cache statistics: table row counts, file size, and detected subscription plan. This tool shows metadata, not market data or screener results.

Instructions

Show database metadata: table row counts, file size, and detected plan.

This tool returns cache metadata — it does NOT query screener signals. To detect 52-week highs/lows use detect_52w_high_low; for YTD highs/lows use detect_ytd_high_low; for volume spikes use detect_volume_surge; for price limits use detect_price_limit. Do not call this tool to look up market data or screener results.

In multi-user mode, returns the authenticated user's plan instead of the global default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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=true, destructiveHint=false, and idempotentHint=true. The description adds a behavioral detail about multi-user mode returning the authenticated user's plan, but the core safety profile is well covered by 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 first sentence, followed by essential usage notes and a behavioral detail. Every sentence adds value without 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?

The description covers what the tool returns, what it does not do, provides alternatives, and addresses multi-user behavior. Given no parameters and an output schema, it is complete for the agent's decision-making.

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 no parameters, so description does not need to explain them. Schema coverage is 100% (trivially). The description adds no parameter information, which is appropriate.

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 the tool returns database metadata (table row counts, file size, detected plan) and explicitly distinguishes from sibling tools by stating it does NOT query screener signals, with specific alternative tools listed.

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?

The description provides explicit when-not-to-use guidance (not for market data or screener results) and lists specific alternative tools for various detections, making usage boundaries very 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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