quote_school_saas
옵션과 수량으로 총액을 계산하고, 학교가 그대로 결재에 올릴 수 있는 견적서 링크를 만든다. 수량 구간 할인이 있으면 자동으로 반영된다. option_id 는 get_school_saas_product 에서 얻는다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | 상품 slug | |
| quantity | No | 수량 (기본 1) | |
| option_id | Yes | 가격 옵션 id |
옵션과 수량으로 총액을 계산하고, 학교가 그대로 결재에 올릴 수 있는 견적서 링크를 만든다. 수량 구간 할인이 있으면 자동으로 반영된다. option_id 는 get_school_saas_product 에서 얻는다.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | 상품 slug | |
| quantity | No | 수량 (기본 1) | |
| option_id | Yes | 가격 옵션 id |
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 load. It usefully discloses that volume-tier discounts are applied automatically and that the output is a link intended for school approval, but says nothing about whether the quote is persisted, whether it expires, required permissions, or repeat-call behavior.
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?
Three short sentences, front-loaded with the core action (total + quote link) before the discount behavior and the dependency hint. No filler or restated field names.
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 three-parameter tool with no output schema, the description covers the essential outcome (a shareable quote link) and the pricing behavior. It is slightly thin on authorization and persistence details, which an agent pricing an approval workflow might want.
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 already 100%, so the baseline is 3. The description adds genuine meaning on top: it names the upstream source for option_id and links quantity to the automatic tier-discount logic, both of which the schema alone does not convey.
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 two concrete outcomes: computing a total from options and quantity, and producing an approval-ready quote link. This is clearly distinct from siblings like get_school_saas_product (a lookup) and search_school_saas (discovery), so an agent can route correctly without opening the schema.
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?
Gives an explicit prerequisite: option_id must come from get_school_saas_product, which tells the agent what to call first. It stops short of stating when NOT to use this tool (e.g., for exploratory pricing) or how it differs from list_school_saas_providers, so it is strong but not exhaustive.
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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