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Hiru-ge
by Hiru-ge

List Analytics Reports

asc_list_analytics_reports
Read-onlyIdempotent

List analytics reports by request ID. Filter by category, limit, or use pagination to browse available reports.

Instructions

List analytics reports available under an analytics report request. Call asc_request_analytics_reports first to obtain requestId.

Args:

  • requestId (string, required): The analytics report request ID

  • category (string, optional): Filter by category

  • limit (number): Maximum number of reports to return (default 20, max 200)

  • nextUrl (string, optional): Pagination URL returned by a previous call

Returns: { "count": number, "items": [ { "reportId": string, // pass to asc_get_analytics_report_data "name": string, "category": string } ], "nextUrl": string | undefined }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of items to return (default 20, max 200).
nextUrlNoThe nextUrl value returned by a previous call to this tool. Pass it back unchanged to fetch the next page. Omit for the first page.
categoryNoFilter by report category: APP_USAGE | APP_STORE_ENGAGEMENT | COMMERCE | FRAMEWORK_USAGE | PERFORMANCE.
requestIdYesThe analytics report request ID returned by asc_request_analytics_reports.
Behavior4/5

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

Annotations indicate readOnlyHint and idempotentHint; description adds value by explaining return structure, pagination, and prerequisite call. No contradiction with annotations.

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 concise with a clear summary, args list, and returns section. Every sentence adds value without redundancy.

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?

For a tool with 4 parameters and no output schema, the description fully covers prerequisites, parameters, pagination, filtering, and return format. No gaps.

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. Description adds context by showing a sample return object and clarifying the workflow (requestId from asc_request_analytics_reports), beyond what schema provides.

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 lists analytics reports under a report request, with specific verb 'list' and resource 'analytics reports'. It distinguishes from siblings by referencing asc_request_analytics_reports and asc_get_analytics_report_data.

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?

The description explicitly instructs to call asc_request_analytics_reports first to obtain requestId, and explains pagination via nextUrl. While it doesn't explicitly list when not to use, the context is clear among sibling list tools.

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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