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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only information lookup and describes the content areas returned, but it does not explicitly state read-only behavior, permissions, side effects, or response format.

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 a single efficiently written sentence with no filler. It is appropriately sized for a simple zero-parameter info tool, though it leads with content items rather than an explicit action framing.

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 zero-parameter service-info tool with no output schema and no annotations, the description should clarify what the agent will receive. It names three content areas but leaves “提供状況” ambiguous and does not say whether pricing, contact details, or terms are included, so it is adequate but not fully complete.

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?

The tool takes zero parameters and the schema is an empty object with 100% description coverage, so there are no parameter semantics to explain. The rubric baseline for zero parameters is 4.

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 states a specific retrieval purpose: it returns the scope of free data, information about the paid individual analysis/report consultation desk, and availability status. This is clearly more than a tautology and distinguishes it in substance from data-catalog or search siblings, though it does not explicitly name those alternatives.

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 explicit guidance on when to use this tool versus the sibling tools such as get_tubesaku_data_catalog, get_tubesaku_index, or search_tubesaku_context. Usage is only implied by the tool name and the returned-content list.

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