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Glama

list_products

List products in this site's store (Wix Stores). Returns name, price, stock status, and product type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoOptional search term matched against product name.
limitNoMax products to return (default 20, max 100).

TDQS

A3.6/5.0
Behavior3/5

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

Description implies a read-only operation by stating it lists products, but does not explicitly confirm non-destructiveness. No annotations are provided, so the description carries the burden, but 'list' is generally understood as safe. No details on authentication, rate limits, or side effects.

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 with no wasted words. First sentence clearly states purpose, second lists return fields. Efficient and well-structured.

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 simple list tool with no output schema, the description covers the core purpose and return fields. However, it lacks details on pagination behavior beyond the limit parameter and does not mention ordering or error conditions. Still, it is largely complete for agent understanding.

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% with descriptions for both parameters (q and limit). The description adds context about returned fields (name, price, stock status, product type) but does not enhance parameter meaning further. Baseline of 3 is appropriate as schema already documents parameters well.

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?

Description clearly states 'List products in this site's store (Wix Stores)', specifying verb, resource, and context. This distinguishes it from sibling tools that list other entities like blog posts or events.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The description does not mention when not to use it or suggest other tools for specific cases (e.g., filtering by other criteria).

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct action on a specific resource (e.g., create_booking vs create_checkout vs reserve_event_tickets). Descriptions clearly differentiate purposes, and no two tools overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_availability, list_categories, search_dishes). Verbs like get, list, create, request, rsvp are used uniformly, making the set predictable.

Tool Count4/5

28 tools is above the typical 3-15 range, but the server covers a broad domain (places, events, movies, booking, store, etc.). Each tool serves a clear purpose, so the count is justified for the scope.

Completeness4/5

The tool surface is extensive, covering searching, details, reviews, booking, events, menus, etc. Minor gaps exist (e.g., no cancel/update operations), but they are likely intentional given the user-facing nature of the server.

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