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Glama

list_collections

Read-onlyIdempotent

List LMK's published editorial collections (occasions, holidays, beauty, style, sports).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
collectionsYes

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description adds limited behavioral context by specifying 'published editorial collections'. It does not disclose additional behaviors like ordering or pagination.

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?

A single sentence of 13 words that front-loads the core purpose. Every word is meaningful, with no fluff.

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?

Given an output schema exists and annotations cover safety, the description provides sufficient context for a simple list tool. It mentions the scope ('published editorial collections') but could hint at pagination or the limit parameter.

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

Parameters2/5

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

With 0% schema description coverage and one parameter (limit), the description does not explain the parameter's meaning or usage. The parameter name and constraints are self-evident but the description adds no value beyond inference.

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 lists 'LMK's published editorial collections' and provides examples like occasions, holidays, beauty, style, sports. This specifies the verb (list) and resource (editorial collections), and the examples differentiate it from sibling tools like get_collection or search.

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 by listing categories but does not explicitly state when to use this tool over alternatives like get_collection (which likely retrieves a single collection) or search. No guidance on when not to use it or prerequisites.

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

A3.9/5.0
Disambiguation4/5

Most tools are distinct, but 'fetch' and 'get_product' have overlapping functionality (both provide full detail and buying options), and 'search' vs 'search_catalog' could confuse agents about which to use for general search. Otherwise clear.

Naming Consistency4/5

Predominantly uses 'get_' prefix for retrieval tools and 'search' for search tools, but 'fetch' and 'lookup_catalog' deviate slightly from the pattern, reducing consistency.

Tool Count5/5

13 tools is well-scoped for a commerce server covering product discovery, pricing, deals, collections, and gift ideas without being overwhelming or sparse.

Completeness4/5

Covers key product research and price comparison workflows, but lacks tools for user interaction (e.g., wishlists, purchasing) or multi-product comparisons, which would enhance completeness.

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