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browse_watches

Browse over 29,000 watches using spec filters. Filter by dial color, case material, movement, and more to find watch details and prices.

Instructions

Browse the full 29k+ watch catalog with spec filters.

Returns watch_id, name, collection, production status, key attributes, retail + market price, URL, image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage (25 results each)
sortNoSort key: '' (default), price_asc, price_desc, random
filtersNoCatalog filter dict. Option-id lists: '1' dial color (6=Black, 41=Champagne), '2' style, '3' bezel material (240=Yellow gold), '5' crystal, '6' dial numerals, '7' movement (8=Automatic), '17' complications (87=Chronograph, 99=Tachymeter), '18' features, '19' case material (216=Gold/steel). Ranges ['min','max']: '4' case diameter mm, '11' power reserve h, '13' water resistance (10m units), '15' lug width mm. Example: {'1': [6], '4': ['40','44']}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It lists return fields but does not disclose behavioral traits like permission requirements, rate limits, or side effects. It is 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.

Conciseness5/5

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

Two sentences, no wasted words. First sentence states purpose, second lists return fields. Front-loaded and efficient.

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?

The description provides a clear overview of tool functionality and return fields. With an output schema present, return value explanation is sufficient. Could include an example or more context on filter usage, but overall complete.

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 coverage is 100%, so the description adds little beyond the schema. It does not elaborate on parameter usage beyond the schema's existing descriptions. Baseline 3 appropriate.

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

Purpose5/5

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

The description clearly states the tool's purpose: browsing a 29k+ watch catalog with spec filters. It differentiates from siblings like search_watches (search) and get_watch_info (single watch) by emphasizing broad catalog browsing and listing return fields.

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?

The description implies usage for broad catalog browsing but provides no explicit guidance on when to use this tool versus siblings like search_watches or get_watch_info. No when-not-to-use or alternatives are mentioned.

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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