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

With no annotations, the description carries full responsibility for behavioral disclosure. It does mention the tool is browser-based and sends no data to a server, which is a useful privacy trait. However, it does not describe how input is provided (e.g., paste text, upload file), what the output looks like (e.g., score, percentage), or any limitations of the n-gram approach. This is minimal transparency beyond the method.

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 exceptionally concise: a single sentence that conveys the method and a key behavioral trait. Every word earns its place, with no filler or redundancy. It is appropriately sized for the tool's simplicity.

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?

While the description covers the core purpose and a notable privacy aspect, it leaves out important practical details for a tool with a completely empty schema. There is no indication of how the user provides texts (UI elements, file upload, etc.) or what the output format is. For a simple tool this might be acceptable, but the missing input mechanism is a notable gap given the schema provides no clues. It is minimally complete but not rich.

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 input schema is an empty object with zero parameters, so there is no parameter-specific information to add. The baseline of 4 is appropriate because no parameter descriptions are needed. The description's mention of 'テキスト間' (between texts) implies the tool handles multiple text inputs, which is the only semantic context available.

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 clearly states the core function: determining similarity between texts using n-gram matching. It specifies the method (n-gram), making it distinct from sibling tools like diff-checker or word-counter. The verb '判定' (judge/determine) plus the resource 'テキスト間の類似度' is specific and unambiguous.

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?

No explicit guidance is provided about when to use this tool versus alternatives. While the 'server transmission zero' note hints at privacy-sensitive use cases, there is no direct statement like 'for comparing texts without uploading data, use this instead of other checkers.' Sibling tools such as diff-checker are not mentioned, so the description fails to aid selection.

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