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generate_product_beautifier_automation_sample

Idempotent

Generate a paid review sample using the saved recipe and its credit caps. Does not publish. Only enhanced product images; the saved automation type must match this tool.

Input Schema

NameRequiredDescriptionDefault
brandIdYes
revisionYes
automationIdYes
idempotencyKeyYes

Output Schema

NameRequiredDescriptionDefault
runNo
automationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=true), so the description is not carrying that burden. It still adds material behavior: the operation consumes paid credits ('paid review sample ... and its credit caps') and does not publish. It stops short of explaining what happens when credit caps are exhausted or how idempotencyKey reuse is handled.

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, front-loaded with the action and the paid/no-publish constraints. The final sentence is telegraphic ('Only enhanced product images; the saved automation type must match this tool'), which reads as a fragment rather than a clean guideline, but nothing is wasted.

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?

An output schema exists, so return values need no explanation, and the annotations cover safety. What remains missing is the workflow context an agent needs for a credit-spending generation call: prerequisites, what to do after the sample exists, and any meaning for the four required parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across four required parameters, so the description must compensate and largely does not. It hints that automationId must reference a product-beautifier automation ('the saved automation type must match this tool'), but brandId, revision, and idempotencyKey get no meaning at all.

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?

States a specific verb+resource ('Generate a paid review sample') and scopes it to this automation family via 'the saved automation type must match this tool.' That distinguishes it from the other generate_*_automation_sample siblings without opening their schemas, though it never names an alternative directly.

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?

'Does not publish' and the automation-type match constraint imply usage context (sample generation precedes approval, not publishing), but the description never names the adjacent tools in this workflow (prepare_product_beautifier_automation, approve_automation_sample) or states prerequisites such as needing an existing saved automation.

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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