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Prepare targeting creation

prepare_targeting_creation

Prepares an immutable, separately confirmable Amazon Ads plan. Creates positive keyword, positive ASIN, negative keyword, or negative ASIN targeting entities. A batch may contain multiple targeting groups. Persists an internal plan without changing advertising entities.

Input Schema

NameRequiredDescriptionDefault
parametersYesCreate positive keyword, positive ASIN, negative keyword, or negative ASIN targeting; targetingGroups allows a reviewed batch of these types.

Output Schema

NameRequiredDescriptionDefault
itemsNo
planIdNo
statusNo
storeIdNo
summaryNo
planHashNo
policyIdNo
warningsNo
createdAtNo
expiresAtNo
simulatedNo
parametersNo
confirmedAtNo
nextActionsNo
planVersionNo
continuationNo
workflowTypeNo
executionModeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Beyond the annotations, the description discloses that the plan is immutable, separately confirmable, and persisted internally without changing advertising entities. This is valuable behavioral context for an agent deciding whether this tool has side effects, though it omits workflow sequencing and error/permission details.

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?

Four sentences, front-loaded with the core action and plan semantics, with no filler. Each sentence contributes either purpose, supported entity types, batch scope, or side-effect clarification.

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?

An output schema and rich nested parameter descriptions are present, so the description need not explain return values in detail. It sufficiently covers the prepare-plan semantics and targeting types, though it could more explicitly connect this tool to the subsequent confirm/apply workflow.

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 the schema already documents the nested parameters thoroughly. The description adds only the high-level notion that a batch may contain multiple targeting groups and lists the four targeting types, which is marginal beyond the schema.

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 names the specific action: preparing an immutable, separately confirmable Amazon Ads plan for targeting creation, and lists the four supported targeting families. It is clearly distinguishable from query or apply siblings, though it does not explicitly name apply_targeting_creation.

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?

It implies use before a separate confirmation/apply step by saying the plan is 'separately confirmable' and does not change advertising entities, but it never explicitly states when to use this versus apply_targeting_creation or prepare_targeting_changes. No exclusions or alternatives are named.

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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