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

Adds economically important behavior that annotations do not cover: flat $2.99 per call versus $1.99/unit with a prepaid report_pack credit, and the fact that pack_code replaces payment. It also signals output qualities (disclosed candidate conflicts, honest confidence). It stops short of describing turn-around, failure/refund behavior, or what the uncharged x_payment probe returns.

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 deliverable is front-loaded in the first clause, followed by contents, audience, and pricing in tight succession with no filler. Dense but well-ordered; slightly long compound sentences keep it from a 5.

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?

With an output schema present, return values need not be explained, and the description covers the deliverable, audience, and cost model for an 11-param paid tool. One gap: it advertises an "English PDF report" while the language enum also allows "ja", which could mislead an agent about localization support.

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 100%, so the schema already documents name, style, language, image sources, and payment fields. The description only reinforces pack_code's role and the pricing relationship, adding little syntax or format meaning beyond what the schema provides. Baseline 3 is appropriate.

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?

Names a specific deliverable (a finished PDF style report) and enumerates its contents (palette, outfit formulas, draping boards, confidence) plus the return payload (report_pdf_base64 + profile JSON). It is clearly distinct from the JSON-only style_profile sibling in spirit, but never names an alternative, so differentiation is left to inference.

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?

"For agents serving human end-clients" gives a target audience, which implies when it is appropriate, but there is no explicit when-not, no prerequisites, and no routing between this tool and style_profile or report_pack. Usage is implied rather than stated.

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