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

No annotations are provided, so the description carries the full burden. It discloses meaningful scope (which platforms, which fee types, which year, and the self-hosted comparison baseline), which is genuinely useful framing for a read-only reference tool. It does not say whether figures are estimates or live, how current the 2026 rates are, or what form the answer takes, so the disclosure is partial rather than complete.

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 compact sentence with the bracketed toolbox tag front-loading the domain and the key scope (platforms, year, fee types) immediately after. It is efficiently sized, though the bracketed category prefix carries little decision-making value compared to the substantive content that follows.

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 no output schema, no parameters, and no annotations, the description should tell the agent enough about the returned content to know whether it answers the question. It does indicate the covered platforms and fee categories, but says nothing about data currency, granularity (per-platform breakdown vs single comparison), or limitations, leaving a gap for a lookup tool whose entire value is the returned reference data.

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 and the schema is empty, so the description has no parameter semantics to explain. Baseline for a no-parameter tool is 4; the description also usefully signals what dimensions the fixed output covers (platform type, commission vs payment-flow fees).

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 names a concrete resource — 2026 commission (抽成) and payment-flow rates (金流費率) for Taiwan e-commerce platforms (Shopee general sellers and malls) — with a stated comparison against a self-hosted site, which separates it from the sibling calculators like creator__calc_group_buy_profit. It is a noun phrase with no explicit verb, so the action (look up / compare reference rates) is inferred rather than stated, but the content is unmistakable.

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 phrase 對比自架官網 implies a use case — evaluating platform fees against running your own store — but there is no explicit when-to-use, no exclusions, and no routing to alternatives. With numerous siblings covering creator profit, withholding, and tax concerns, the definition leaves the agent to guess when this reference is the right one.

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