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Japan Places — Japan Data Foundry

jp_density

都道府県×カテゴリのPOI密度

Input Schema

NameRequiredDescriptionDefault
categoryNo
prefectureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not state that the tool is read-only, what the data source is, what units 'density' uses, whether results are per-area or per-population, or what the response looks like. Only the bare concept is disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

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

It is a single fragment with no wasted words, but it is under-specified rather than concise. There is no front-loaded verb clause or structure to help an agent parse intent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, 0% parameter coverage, all-optional parameters, and no usage context, the definition leaves nearly everything an agent needs unresolved. A two-parameter analytical tool needs far more than a four-word label.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so both parameters are undocumented in the schema. The description only echoes the parameter names (prefecture, category) without giving accepted values, formats, or behaviour when they are omitted; both are optional, and the description does not explain this.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The phrase '都道府県×カテゴリのPOI密度' names the resource (POI density) and its two axes (prefecture × category), so an agent can infer what is returned. However, it has no verb and no sentence structure, and it gives no hint about how it differs from density-adjacent siblings such as jp_catchment or jp_facility_signal.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool instead of the many other jp_* tools, no prerequisites, and no exclusions. The phrase implies that density by prefecture and category is its purpose, but nothing tells an agent when this is the right choice.

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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