check_tax_registration
依台灣 114 年起營業稅起徵點(貨物 10 萬、勞務 5 萬),判斷網路賣家當月是否需辦稅籍登記與稅率。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | ||
| monthly | Yes |
依台灣 114 年起營業稅起徵點(貨物 10 萬、勞務 5 萬),判斷網路賣家當月是否需辦稅籍登記與稅率。
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | ||
| monthly | Yes |
Changes observed during successful MCP inspections.
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 usefully discloses the underlying rule thresholds (goods 100k, services 50k) that drive the verdict, but says nothing about permissions, whether the call is read-only, or how the registration/tax-rate result is returned.
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 dense sentence that front-loads the governing criteria before the verdict it produces. No filler, though the embedded threshold detail makes it slightly heavy.
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 annotations, no output schema, and 0% schema coverage, the description covers the decision logic but leaves the response shape (registration flag vs. tax rate value) and error/edge behavior unstated.
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% for two parameters. The description implicitly maps 貨物/勞務 to the type enum and 當月 to the monthly figure, which adds some meaning, but it does not clarify units (NTD), nor what happens when the optional type parameter is omitted.
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 states a specific verb+resource: it determines whether an online seller must register for a tax ID and what tax rate applies for the month. The domain (Taiwan business tax thresholds) is distinct from siblings like platform_fees or calc_group_buy_profit, though it never names an alternative for comparison.
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 — online sellers evaluating a given month's sales against the 114-year threshold — but there is no explicit when-to-use/when-not guidance or named alternative tool for related determinations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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