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Amazon Ads: sb/targets API

nexscope_data_amazon_ads_developer_proxy_sb_targets
Destructive

Amazon Ads: sb/targets API. Uses your Nexscope Amazon Ads connection. Credentials remain on the server. Mutations require preview and confirmation.

Input Schema

NameRequiredDescriptionDefault
bodyYesThe payload must be provided; the skill will serialize it and forward it to the upstream, and the Amazon access token cannot be put into the payload.
localeNoLocalization parameters (supported by some keyword scripts).
methodYesUpstream HTTP methods: `POST` creation, `PUT` modification.
fetchAllNoAutomatic page turning; SP and SB V4 main resource lists use `nextToken`, SB Target/BudgetRule uses `nextToken` (BudgetRule query must contain `pageSize`), SB Keyword GET, SB V3 GET and SD use `startIndex + count`.
maxResultsNoSingle page 1–100; SD corresponds to count.
contentTypeNoapplication/json。
queryStringNoPass upstream query parameters when needed.
connectionIdYesAn Amazon Ads connection owned by the authenticated Nexscope user.
skipDepCheckNoSkip dependency checking.
confirmationTokenNoFor mutations, first preview without a token, then confirm using the returned single-use token.
includeExtendedDataFieldsNoSome entities return extended fields; SD is switched through the /extended path.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and openWorldHint=true, and the description adds behavior beyond that: credentials stay server-side (so no token needs to be supplied) and mutations go through a preview-then-confirm cycle. Body-payload constraint lives in the schema. Not a 5 because it still doesn't say what gets destroyed or how failures/rate limits behave on a destructive write.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences with the resource identified first and the operational caveats front-loaded; nothing is padded. It loses a point only because the opening phrase duplicates the title verbatim rather than using that space for distinguishing information.

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

Completeness3/5

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

For a destructive, open-world proxy with 11 parameters and no output schema, the description covers auth and confirmation but leaves the agent unsure what the tool operates on and how it differs from the `_list` variant. The strong schema coverage prevents this from being a serious gap, but the definition is only minimally sufficient.

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 explains all 11 parameters, including `confirmationToken` and `fetchAll` pagination mechanics. The description only indirectly touches `confirmationToken` via the 'preview and confirmation' sentence and adds no field-level meaning, which is the expected baseline when the schema does the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the upstream resource (Sponsored Brands sb/targets) but does nothing more than restate the tool name and title — it never says what a 'target' is or which operations are exposed (the schema's `method` field, not the description, reveals POST-create/PUT-modify). It also fails to distinguish this tool from the very close sibling `nexscope_data_amazon_ads_developer_proxy_sb_targets_list`, which an agent must choose between.

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?

'Mutations require preview and confirmation' is a genuine workflow instruction that tells the agent the invocation pattern for writes. However, there is no guidance on when to pick this endpoint over sb_targets_list, sd_targets, or sb_keywords, so the sibling-selection decision is left entirely to inference.

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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