［台灣 AI 工具價格］比較 ChatGPT、Claude、Google AI（Gemini／NotebookLM）、Perplexity、Microsoft 365 Copilot 等 AI 訂閱方案在台灣的新台幣價格與功能，附官方出處。
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "aitools__compare_ai_subscriptions"
}
}| Name | Required | Description | Default |
|---|---|---|---|
| product | No | 產品名稱關鍵字，不填回傳全部 |
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 must carry the behavioral burden. It discloses that results include prices, features, and official sources, and its read-only comparison nature is self-evident, but it never confirms there are no side effects or how fresh the pricing data is.
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 with the category tag first and the coverage scope following. No filler, though the product enumeration is long.
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 single-parameter, read-only lookup with no output schema and no annotations, the scope and content are adequately conveyed. However, usage context and differentiation from the three adjacent aitools pricing tools are missing.
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 100% and the single optional 'product' parameter is fully documented in the schema as a keyword filter, so the baseline of 3 applies. The description adds no extra semantics about how the filter matches products.
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 (compare) and resource (AI subscription plans) and enumerates the products covered, plus region and currency. It implicitly distinguishes itself from siblings like get_ai_api_pricing by scoping to 訂閱方案 rather than API pricing, but does not explicitly name an alternative.
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 description only says what the tool contains, with no guidance on when to use it versus compare_agent_platforms, get_ai_api_pricing, or estimate_ai_api_cost_twd. No exclusions or conditions are given.
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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