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Glama

BAM Kaarsen catalog

Browse catalog facets

browse_catalog

The catalog navigation tree: scents, product types and collections with their ids, for use with list_products.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage for names and descriptions (default en)

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the behavioral burden. It communicates that the result is a navigation tree containing scents, product types, and collections with ids, and the action 'browse' implies a read-only lookup. It does not fully specify tree shape or pagination, but that is minor for this simple catalog browse operation.

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 tightly written sentence defines the resource, its content, its ids, and the downstream integration with list_products. There is no filler and all context is front-loaded.

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

Completeness5/5

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

For a tool with only one optional parameter and no returned output schema, the description is sufficient. It tells the agent what the response contains and how to use it for list_products, leaving little to inference.

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?

The lang parameter has 100% schema coverage with an enum and default, so the schema already fully explains the input meaning. The description adds no parameter-specific details, which is acceptable because the schema owns that responsibility.

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 names a specific resource—the catalog navigation tree—and enumerates its contents: scents, product types, collections, and their ids. It also differentiates the tool by framing it as a taxonomy source for list_products, which clearly separates it from sibling product-lookup tools.

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

Usage Guidelines4/5

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

'for use with list_products' gives clear context on the intended workflow: browse the catalog to obtain ids, then pass those ids into list_products. It provides useful guidance without explicitly listing exclusions for search_products or get_product.

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 has a clearly distinct purpose: browse_catalog returns the navigation tree, list_products returns products with optional facet filtering, get_product returns full details for a single product, and search_products performs keyword search. There is no meaningful overlap between them.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: browse_catalog, get_product, list_products, search_products. This makes the API predictable and easy to navigate.

Tool Count5/5

Four tools is a well-scoped size for a read-only catalog server. Each tool serves a distinct and necessary part of the browsing workflow, and no tool feels redundant or missing.

Completeness5/5

The tool surface covers the core catalog operations: exploring structure, filtering by facet, retrieving details, and searching. There are no obvious dead ends for typical catalog queries, and the read-only scope does not require update or delete operations.

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