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cprice70

amazonads-mcp

by cprice70

get_report

Check the status of a previously requested Amazon Ads report and download it once ready, resolving PENDING states from campaign performance requests.

Instructions

Check status and download a previously requested report. Use this after get_campaign_performance returns PENDING status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reportIdYesThe report ID returned from get_campaign_performance
profileIdYesThe Amazon Ads profile ID
Behavior4/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It conveys a read/download operation, implies a prerequisite (prior report request), and mentions checking status, which covers the key behaviors. However, it doesn't state explicitly that it is read-only or describe potential outputs, but the core safety and workflow behavior are clear.

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?

Two short sentences: the first states the action, the second gives the trigger condition. No filler, fully front-loaded, and every word contributes.

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?

For a small tool with two well-covered parameters and no output schema, the description sufficiently completes the context: it tells the agent what to docj and when. Missing details like output format or error handling are not critical given the tool's simplicity, but a brief note on return payload would be slightly better.

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% with decent descriptions, but the tool description adds crucial context: it links reportId to the output of get_campaign_performance)Skip. This gives the agent more semantic grounding than the raw schema alone, especially for the reportId parameter.

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 clearly states the tool's dual purpose: checking status and downloading a previously requested report. It explicitly references the prerequisite from a sibling tool (get_campaign_performance returning PENDING), which distinguishes it from the creation tool and clarifies its role in the workflow.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says 'after get_campaign_performance returns PENDING status', giving a clear condition for when to use this tool. This provides direct usage context without ambiguity, and no alternatives are needed since this is the designated follow-up.

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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