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Glama

MerchSage Sponsorship Index

get_brand

Every indexed creator a brand has sponsored.

    Args:
        slug: Brand slug, e.g. 'holafly' (lowercase, hyphen-separated).
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals that only indexed creators are included, but it does not mention whether the result is paginated, what happens for unknown brand slugs, whether it is read-only, or what the response looks like.

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?

The description is short and mostly front-loaded with the core meaning, followed by the Args note. The first sentence is slightly awkward grammatically, but it earns its place without unnecessary filler.

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?

For a simple one-parameter tool, the description conveys the main purpose and the required input format. However, with no output schema and no annotations, it stops short of fully describing the return shape or edge-case behavior, so the context is adequate but not rich.

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

Parameters4/5

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

Schema coverage is 0%, but the description compensates by explaining the slug parameter clearly: brand slug, lowercase, hyphen-separated, with a concrete example ('holafly'). This adds useful meaning beyond the bare schema property.

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?

The description states that the tool returns every indexed creator a brand has sponsored, which is a specific resource and scope tied to the brand slug. It is distinguishable from siblings like get_creator and list_categories, though it doesn't explicitly differentiate itself from search_sponsorships.

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?

There is no guidance about when to use this tool versus search_sponsorships or get_creator. The only usage hint is the slug format, which is about parameter input rather than decision-making between alternatives.

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

A3.7/5.0
Disambiguation4/5

Each tool targets a distinct access pattern: get_brand by brand slug, get_creator by YouTube handle, list_categories for taxonomy, and search_sponsorships for filtered discovery. There is slight overlap between get_brand and search_sponsorships when looking up a brand, but the exact-slug vs substring/filter distinction makes the boundaries clear.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern: get_ for direct lookup, list_ for enumeration, and search_ for queries. Naming style is uniform with lowercase and underscores.

Tool Count5/5

Four tools is a well-scoped size for a read-only sponsorship index. Each tool covers a core access pattern without redundant additions.

Completeness4/5

The tool surface covers the main lookup and discovery workflows: by brand, by creator, by category, and by filtered search. Minor gaps like pagination or a full index dump are absent, but agents can still answer typical sponsorship questions.

Resources