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mcp adoraads ai/beauty

get_shopper_prefs

Read-only

Get a shopper's ad preferences — whether they allow sponsored results and their brand/ingredient preferences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tenant_idYesUnique identifier for the merchant/tenant account
shopper_idYesUnique identifier for the shopper

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
shopper_idNo
brand_blocklistNoBrands to exclude from results
preferred_tiersNoPreferred product tier categories
organic_only_modeNoWhether shopper prefers organic-only results
sponsored_allowedNoWhether shopper has opted into sponsored results
max_sponsored_ratioNoMaximum ratio of sponsored to organic results
ingredient_avoidancesNoIngredients to avoid

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description confirms it's a 'get' operation, adding no extra behavioral context beyond what annotations provide. No rate limits, auth, or side effects are mentioned, but the bar is lowered given the annotations.

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?

The description is a single, front-loaded sentence with zero waste. It immediately states the purpose and briefly lists key output components, making it highly efficient for an agent to parse.

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?

Given the output schema exists, the simple parameter set, and annotations covering safety, nothing essential is missing. The description, together with structured fields, fully equips an agent to call this tool correctly.

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 description coverage is 100%, so both parameters (tenant_id, shopper_id) are already well-documented in the schema. The description adds no parameter-specific details, matching the baseline of 3 for high coverage.

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 verb 'get' and the resource 'shopper's ad preferences', and specifies exactly what is returned (sponsored results allowance, brand/ingredient preferences). This distinguishes it from all sibling tools, none of which handle preference retrieval.

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?

Though no alternative tool is mentioned, the purpose is unambiguous: this is the sole tool for fetching shopper ad preferences. There is no need for explicit exclusions because no sibling performs a similar function. The context is clear, but it lacks explicit 'when to use' phrasing.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, such as searching products, building routines, and firing billing events. There is minor overlap between skin_match and sponsored_search in returning sponsored products, but the workflow differences are described clearly.

Naming Consistency4/5

All tool names use snake_case, which provides a consistent style. However, the pattern is not uniformly verb_noun; some are noun_phrases (brand_spotlight, routine_builder) while others start with verbs (fire_billing_event, get_shopper_prefs).

Tool Count5/5

With six tools, the count is well within the ideal range for a focused domain. Each tool serves a distinct role in the sponsored beauty workflow, and none feel redundant or unnecessary.

Completeness4/5

The tool surface covers the core funnel: preferences, search, personalization, routine building, brand spotlighting, and billing events. Minor gaps exist, such as no explicit tool for updating shopper preferences, but the main workflows are complete.

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