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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: no data source, no units, no return shape, no aggregation or ranking behavior, no explanation of what 'density' is measured against (area, population, per-municipality). A five-word fragment is far below what a zero-annotation tool requires.

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

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

The description is short, but shortness here reflects under-specification rather than conciseness; it is a single fragment with no front-loaded verb, scope, or return statement. Nothing is padded, but nothing useful is conveyed either.

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

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

For a tool with two undocumented, oddly-typed parameters, no annotations, and no output schema, the description would need to explain behavior and parameters on its own. It supplies none of that, leaving an agent unable to invoke the tool correctly.

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

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

Two parameters, limit and min_count, have 0% schema description coverage, and both are typed as strings despite being semantically numeric — a genuine ambiguity the description never addresses. The description does not mention either parameter, so it compensates for none of the coverage gap.

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

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

The description 'チェーン店の出店密度' names a resource (chain-store location density) but is a bare noun phrase with no verb indicating what the tool actually does — compute, list, rank, or aggregate. It does not differentiate from overlapping siblings such as jp_density, jp_catchment, or jp_facility_signal, so an agent cannot tell which of these density-flavored tools is appropriate.

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

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

There is no when-to-use guidance, no mention of alternatives, and no stated preconditions in the description. The only signal an agent has is the phrase itself, which provides no criteria for choosing this over jp_density or jp_catchment.

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