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

No annotations are provided, so the description must carry the full burden of explaining behavior. It does disclose the kind of information returned (tape width, tape type, error status) and that it doubles as a connectivity probe, but it does not say how a failed connection or a printer error surfaces (for example, an exception versus a status field), whether the call is safe or side-effect-free, or how expensive it is if no printer is attached. This provides partial disclosure for a no-annotation tool.

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 definition is a single compact sentence that front-loads the core action and appends the connectivity-check purpose. Nothing is redundant, though the phrasing is somewhat terse and the secondary use is tucked into a parenthetical rather than foregrounded.

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?

Because the tool has zero parameters and no output schema, the description must at least outline what gets read, and it does this: tape width, type, and error presence. What remains unaddressed is the failure mode when the printer is unreachable and the response format, but these are minor gaps for a simple read-only status probe.

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, so there are no parameter semantics to misrepresent. The description correctly implies that no input is needed in order to query status. Per the rubric, a zero-parameter tool gets a baseline of 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 gives a specific verb and resource in Japanese: connect to the printer and read tape width, type, and error presence. An agent can tell this apart from the sibling print_label_text and print_label_image because this tool only reads and does not print. It does not name those siblings explicitly, so sibling differentiation is only implied.

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?

The parenthetical '(つながるかの確認にも)' implies that this is a connectivity check, which suggests calling it before printing, but the description does not explicitly state when to use it, when not to use it, or how it relates to the two print tools. The usage context is therefore implied rather than spelled out.

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

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

With no annotations, the description carries the full burden and does well: it discloses monochrome conversion, shrinking to tape width, and that only 12mm has been verified on hardware. That hardware caveat is valuable operational context. It does not mention failure modes such as an offline printer or a missing media type, but the core behavior is covered.

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 purpose comes first, followed by tightly scoped parameter notes, with no filler. The Japanese is dense and each clause carries information. A slightly clearer separation of parameter bullets would improve the structure.

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 an 8-parameter print tool with no annotations and no output schema, the description covers the important hardware-specific behavior and several parameters. However, the media and copies parameters and any error or prerequisite information are left unspecified, so an agent still has gaps.

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?

Schema description coverage is 0% across 8 parameters, so the description must compensate. It meaningfully documents tape_mm (valid values plus the 12mm-only caveat), rotate, dither, and dry_run, but leaves path, media, copies, and invert unexplained. Half the parameters remain opaque.

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 opens with a concrete verb and resource: it prints a JPEG/PNG image file as a label. The explicit emphasis on 'image file' implicitly separates it from the text-based sibling, but no sibling is named.

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?

The guidance is about how to use parameters, such as rotate for portrait images, dither=false for logos, and dry_run for preview, rather than when to choose this tool over print_label_text or printer_status. The image-vs-text distinction is implied but never stated as an explicit alternative.

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

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

With no annotations, the description carries the full burden and does substantial work: it discloses the physical device, that dry_run produces only a PNG, the supported tape widths and which are actually verified, the media materials, and that omitting font_size auto-fits to tape height. It omits copies behavior, return values/paths, and failure modes.

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?

Dense line-per-topic layout with the safety-relevant dry_run instruction placed high, and no filler sentences. It is long, but on a 13-parameter tool nearly every line adds distinct information; the segments example is justified by the undocumented nested shape.

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 13-parameter, no-annotation, no-output-schema tool the description covers the overwhelming majority of what an agent needs to call it correctly, including hardware constraints and mode interactions. Remaining gaps are copies and what dry_run actually returns.

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?

Schema coverage is 0%, so the description must compensate, and it does: 12 of 13 parameters get concrete meaning, including the tape_mm allowed set, image_position's four modes spelled out with ordering semantics and the text_after dependency, icon_scale's 0.2–1 range, and an inline JSON example for segments. Only copies is left unexplained.

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 opens with a concrete verb+resource: print text (and an image, if provided) as a label on a PT-P300BT. The text-first, image-optional framing implicitly separates it from the sibling print_label_image, but neither sibling is named, so an agent must infer the boundary.

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?

Strong guidance for the riskiest path: 'dry_run=true なら印刷せず… (最初は必ずこれで見る)' explicitly tells the agent to preview first. It also gives selection rules for tape_mm (only 3.5–12 works on this device, only 12 is hardware-verified) and media types. It never states when to prefer print_label_image or printer_status instead.

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