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

No annotations are provided, so the description carries the burden. It usefully discloses what is evaluated (crowd level derived from national holidays and peak season), but says nothing about how the level is expressed, auth needs, or rate limits. Some real value, but incomplete for a zero-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?

A single front-loaded sentence names the purpose first and appends the country-code list. No filler, though the enum list makes it denser than ideal for skimming.

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 3-param read tool with no annotations or output schema, the description covers what is computed, the date handling, and the country domain. The only gap is not spelling out the returned crowd-level scale, which is minor.

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 schema documents start/end as YYYY-MM-DD but leaves country undescribed. The description compensates by enumerating the accepted country codes (JP, KR, HK, CN, VN, TH, SG, PH, ID, US, GB, FR, AU), which the schema lacks entirely — a genuine addition beyond structured data.

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?

States a specific verb (查/check) and resource (人潮等級/crowd level) for a destination over a date range, and clarifies it evaluates national holidays and peak season. It does not explicitly differentiate from siblings like flight_booking_timing or get_2027_long_weekends, but the purpose is discernible.

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 is only implied — the tool's function (checking whether dates hit local holidays/peak season) suggests a pre-booking check, but there is no explicit when-to-use, when-not-to-use, or named alternative among the siblings. Adequate but leaves routing to inference.

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