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cprice70

amazonads-mcp

by cprice70

create_campaign

Create a new Amazon Ads campaign by specifying profile, name, type, targeting, daily budget, and start date.

Instructions

Create a new advertising campaign in Amazon Ads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCampaign name
profileIdYesThe Amazon Ads profile ID
startDateYesCampaign start date in YYYY-MM-DD format
dailyBudgetYesDaily budget amount
campaignTypeYesType of campaign to create
targetingTypeYesTargeting type for the campaign
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it offers none. It does not mention side effects (e.g., billing activation, campaign limits), authentication requirements, rate limits, or what happens upon successful creation. This is a significant gap for a mutating tool.

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 wasted words. It conveys the core action and scope efficiently, though it sacrifices depth for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with 6 required parameters and no annotations or output schema, the description is severely under-specified. It omits return values, side effects, prerequisites, and any operational context needed to safely invoke the tool, making it inadequate for autonomous agent use.

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 all six parameters are already documented with names/types/enums. The description adds no additional meaning beyond the schema, which matches the baseline of 3 for high schema 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 uses a specific verb ('Create') and resource ('advertising campaign') plus platform ('Amazon Ads'), making the tool's purpose immediately clear. It also distinguishes itself from sibling tools like get_campaigns and archive_campaign by explicitly focusing on creation.

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?

No guidance is provided about when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or scenarios where creation would be inappropriate, leaving the agent to infer usage solely from the verb 'create'.

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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