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list_distilleries

List Chinese whisky distilleries with optional filtering by regional code. Use the region parameter to narrow results to a specific industrial area.

Instructions

列出国产威士忌酒厂,可按产区过滤(region 用产业区 code)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNo产业区 code,如 qionglai
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the safety/behavior burden. '列出...可按产区过滤' accurately conveys a read-style filtering operation, but it doesn't disclose pagination, result shape, or how absent filters behave. These are moderate omissions for a simple list tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One compact sentence that front-loads the purpose and appends the filter condition. Every word earns its place; no redundant filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-optional-parameter list tool with full schema coverage, the description is nearly complete: it states the resource, scope (domestic), and filter mechanism. A brief pointer to list_regions for codes would improve it, but nothing critical is missing for a correct call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents region as an industrial-zone code with an example (qionglai). The description mostly repeats this rather than adding new parameter semantics, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('列出') and resource ('国产威士忌酒厂'), and notes the optional region filter. It is distinct from siblings like get_distillery, though it doesn't explicitly contrast 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.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies the primary use: list all distilleries, optionally filtered by an industrial-region code. It offers no explicit when-to-use/when-not-to-use guidance and never points to list_regions for obtaining valid codes, though that is inferable.

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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