get_quoteAnswer "what does this cost in total, delivered?" — items, the exact checkout shipping tier, any running promotion and the total in EUR, for any of the 27 EU countries. Pass the same SKU twice for quantity 2. Includes a checkoutUrl.
| Name | Required | Description | Default |
|---|---|---|---|
| skus | Yes | Product SKUs from search_products; repeat a SKU for quantity | |
| country | No | ISO-2 destination country, e.g. "NL", "BE", "DE" (default "NL") |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears the full burden and does well: it discloses output composition, the quantity-by-repeating-SKU convention, and the 27-EU-country limitation. It does not cover error cases or quote validity, which keeps it from a 5.
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 sentences, with the purpose front-loaded and each sentence adding distinct value: expected outputs, quantity handling, and checkoutUrl. No filler or redundant restatement.
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?
Even with no output schema and no annotations, the description covers what the agent will receive, how to express quantity, and the geographic scope. Minor gaps remain around non-EU or invalid inputs and whether checkoutUrl expires, but they are not critical for correct invocation.
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%, so the baseline is 3. The description adds little beyond the schema: the quantity convention is already in the skus parameter description, and the '27 EU countries' phrasing slightly enriches the country parameter scope.
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 uses a specific verb ('answer what does this cost in total?') and identifies the resource: a delivered price quote with items, shipping tier, promotion, total EUR, and checkoutUrl. The EU-only scope further distinguishes it from siblings like get_product and search_products.
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 opening phrase is a clear trigger: use this tool when the agent needs a total delivered cost. It gives unambiguous context, though it does not explicitly name alternatives or state when-not-to-use it beyond the EU scope.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool serves a distinct function: product lookup, quote calculation, catalog search, and store information. There is no overlap in their purposes, so an agent can easily select the right tool for a given task.
All tool names follow a consistent verb_noun pattern: get_product, get_quote, search_products, store_info. The prefixes 'get_', 'search_', and 'store_' clearly indicate the action and resource, making the set predictable.
With only 4 tools, the server is tightly scoped to a storefront workflow: search, product details, pricing with shipping, and store policies. Each tool is necessary and the count feels right for the domain.
The set covers the essential customer journey: searching, viewing products, obtaining a quote with checkout URL, and accessing store info. A minor gap is the lack of direct order placement or cart tools, but those appear to be handled externally via the checkoutUrl, so the surface is reasonably complete.