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Yusuke-Shibata23

Cocktail

filter_cocktails

Filter cocktails by category (e.g., 'Ordinary Drink', 'Cocktail') or by alcohol content (alcoholic/non-alcoholic). Specify the filter type and value to refine your cocktail search.

Instructions

Filter cocktails by category (e.g., 'Ordinary Drink', 'Cocktail') or by alcoholic/non-alcoholic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filter_typeYesFilter type: 'category' or 'alcoholic'
valueYesFilter value (e.g., 'Cocktail', 'Alcoholic', 'Non_Alcoholic')
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that filtering is by category or alcoholic type, but doesn't mention behavior on invalid values, empty results, or rate limits. Adequate but not rich.

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

Conciseness4/5

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

One sentence, no wasted words. Front-loaded with verb 'filter' and resource 'cocktails'. Clear and efficient.

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

Completeness3/5

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

Simple tool with only 2 params and no output schema. Description is complete enough for this simplicity, but lacks details on return format or edge cases. Adequate for a straightforward filter.

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 has 100% coverage with descriptions for both parameters. The description adds context with examples like 'Ordinary Drink' and 'Alcoholic', which aligns with schema enums, but doesn't add new meaning beyond schema.

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?

Description clearly states the tool filters cocktails by category or alcoholic status, with specific examples. It distinguishes from sibling tools that search or get random info.

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?

No explicit when-to-use or alternatives guidance. However, the description implies using it for category or alcoholic filtering, which is clear but not contrasted with siblings.

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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