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mcp adoraads ai/beauty

fire_billing_event

DestructiveIdempotent

Fire a billing event when acting on a sponsored result. Call at each funnel stage (context, shortlist, recommendation, or purchase).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesBid token from sponsored_search results that authorizes billing
event_typeYesStage of engagement: context_inclusion (shown), shortlist (saved), recommendation (mentioned), or purchase (bought)
order_valueNoFinal order value in USD (used for purchase event to calculate affiliate fee)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successNo
brand_idNo
timestampNoISO 8601 timestamp of billing event
charge_usdNoAmount charged for this event
event_typeNo
product_idNo
receipt_idNoUnique billing receipt identifier
campaign_idNo

TDQS

A4/5.0
Behavior3/5

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

Annotations already communicate that this is non-read-only, destructive, and idempotent. The description adds useful context by tying the call to sponsored results and funnel stages, but it does not explain billing consequences or the need for a valid token. Given the annotations, this is acceptable but not rich.

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 short sentences with no filler. The action is front-loaded, and the funnel stages are enumerated compactly. Every sentence contributes to correct invocation.

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 3-parameter tool with full schema coverage, output schema, and annotations, the description plus schema provides enough context to call the tool correctly. A small gap is that it does not explicitly warn about the monetary/destructive nature or require a token, but these are covered by annotations and schema.

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%, and the schema already documents token, event_type, and order_value with clear descriptions. The description does not add parameter-level detail, but with full schema coverage the baseline of 3 is appropriate.

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 verb ('fire'), a resource ('billing event'), and the triggering context ('when acting on a sponsored result'). The funnel-stage enumeration also distinguishes it from sibling tools like sponsored_search or brand_spotlight, making its purpose unmistakable.

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?

The description explicitly says to call the tool at each funnel stage and lists the stages: context, shortlist, recommendation, purchase. It does not explicitly name alternatives or say when not to call it, but the sponsored-result condition provides clear usage direction.

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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