creator__check_tax_registration
[網紅開團合規工具箱]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 |
[網紅開團合規工具箱]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?
With no annotations, the description must carry the behavioral burden. It discloses the decision logic and thresholds and that it returns a registration verdict and tax rate, but says nothing about side effects, permissions, or that this is a side-effect-free calculation. Useful context, 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 that leads with the toolbox tag and immediately states the rule applied and the output. No wasted clauses, though the bracketed toolbox prefix adds little for an agent.
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 2-parameter tool with no annotations and no output schema, the description covers purpose, thresholds, and the nature of the return (registration need + rate) well enough to call it correctly. Minor gaps around the 'monthly' input semantics remain.
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 coverage is 0%, so the description must compensate. It supplies the goods/services thresholds that map to the 'type' enum and the comparison basis for 'monthly' (當月), but never clarifies that 'monthly' is the monthly sales figure or its currency/units, leaving real gaps.
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 verb+resource (判斷網路賣家是否需辦稅籍登記) and states the exact legal thresholds it applies (貨物 10 萬、勞務 5 萬), making the purpose concrete. It is distinguishable from creator siblings like calc_creator_withholding or platform_fees, though it never explicitly contrasts itself with them.
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?
There is no when-to-use or when-not-to-use guidance and no named alternatives. The scope (online sellers, monthly determination) is implied by the text but the agent is left to infer the triggering context on its own.
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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