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

Annotations already declare the mutating, non-destructive, non-idempotent profile, so the description's added value is the cost model and throughput constraints: file preparation is free, charged_cents is returned, and requests are throttled to 3 per email per 30 days and 20 per UTC day with overflow queued. That is real behavioral context an agent cannot get from the annotations, though it does not explain what a 'queued publication' means for subsequent calls.

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 English text is front-loaded and efficient, moving from purpose to inputs, outputs, then limits. The entire body is then repeated verbatim in Chinese, which doubles length without adding information for a single-language reader and dilutes the signal-to-noise ratio.

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 7-parameter mutation with no output schema and no schema descriptions, the definition does well to describe the return payload and quota behavior. It is still incomplete on three optional parameters and on what happens after the pack is queued, which matters for an agent deciding whether to chain into the sibling material or send-to-factory tools.

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 7 parameters, so the description is the only source of meaning, and it explains only four of them (title, style_count, materials, request_id) by name. The three optional parameters source_tag, company_query and factory_title_zh are left entirely undocumented, and even the named ones get no format or constraint detail beyond the schema's type/maximum.

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 uses a specific verb+resource ("Create / open an order pack") and names the four inputs that define the request, so an agent can distinguish this from retrieval siblings like get_order_pack or list_order_packs. It stops short of naming a sibling alternative explicitly, which keeps it out of the top band.

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?

Usage context is implied by the inputs and by the quota discussion ("new requests share a limit of three per email in 30 days... with extras queued"), which tells the agent what happens when the limit is hit. However, there is no explicit when-to-use vs. when-not guidance and no pointer to follow-up tools such as add_order_pack_material or send_order_pack_to_factory.

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