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get-mcp-ads

Amazon Ads MCP Server

amazon ads get sd campaigns

amazon_ads_get_sd_campaigns
Read-onlyIdempotent

Retrieves one page of Sponsored Display campaigns for an advertising profile, using startIndex pagination and requiring Display eligibility.

Instructions

Read one page of Sponsored Display campaigns. Requires Display eligibility. Pagination uses startIndex, not a cursor; full pages are conservatively marked partial. Creatives include native media references; these records are not performance metrics.

Input Schema

NameRequiredDescriptionDefault
countNoMaximum entities in this page, up to 100.
accountIdYesAdvertising profile ID listed in AMAZON_ADS_PROFILE_IDS, such as 1234567890. The region-qualified form used by hosted getmcpads, such as EU:1234567890, is accepted when its region matches AMAZON_ADS_REGION.
startIndexNoZero-based offset of the first entity. Use nextStartIndex from the previous page.

Output Schema

NameRequiredDescriptionDefault
resultYesOriginal tool result: parsed JSON when the text is JSON, otherwise the text or multiple MCP content blocks. Provider fields depend on the selected query.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already cover readOnly/idempotent/non-destructive, but the description adds genuinely non-obvious behavior: pagination is offset-based rather than cursor-based, full pages are flagged partial, and returned records are not performance metrics. The partial-page caveat is the kind of quirk that prevents incorrect pagination logic in a caller.

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 short sentences, front-loaded with purpose then prerequisites then pagination then data caveats. No filler and every clause carries operative information.

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?

With an output schema present, return shape needn't be explained, and the description still covers eligibility, pagination semantics, partial-page behavior, and the nature of creative fields. Nothing an agent needs to call this correctly is missing.

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 100%, so baseline is 3, but the description adds meaning beyond the schema by explaining that startIndex is the pagination mechanism and why no cursor exists. It does not restate count or accountId, which the schema already handles well.

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?

States a specific verb and resource — 'Read one page of Sponsored Display campaigns' — and the 'SD' qualifier plus 'one page' distinguishes it from the sibling get_sb_campaigns and get_campaigns. An agent can route correctly without opening the schema.

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?

'Requires Display eligibility' gives a concrete prerequisite that tells the agent when this tool is callable. It does not name an explicit alternative or exclusion, so it stops short of full when/when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.