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bhavya998

analytics-mcp

by bhavya998

get_revenue_report

Read-only

Generate a revenue report grouped by category, region, or month. Returns total revenue, order count, average order value, and estimated profit for each segment within a specified date range.

Instructions

Generate a revenue report grouped by a dimension within a date range.

Returns total revenue, order count, average order value, and estimated profit per segment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_byNoDimension to group by: 'category', 'region', 'tier', 'status', or 'month'category
period_endNoEnd date YYYY-MM-DD (default: 2025-06-30)2025-06-30
period_startNoStart date YYYY-MM-DD (default: 2024-01-01)2024-01-01

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_byYesDimension used for grouping
segmentsYesRevenue breakdown by group
period_endYesReport period end date
grand_totalYesTotal revenue across all groups
period_startYesReport period start date
Behavior4/5

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

Annotations already indicate readOnlyHint=true, and the description adds the output metrics (total revenue, order count, avg order value, estimated profit), providing behavioral context beyond the annotation without contradiction.

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 two concise sentences: first states the action and constraints, second states the output. No extraneous words, highly efficient.

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?

Given the existence of an output schema, the description appropriately complements it by listing the metrics. All parameters are documented, no required params, and the description covers the tool's purpose and output. Complete for the complexity.

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 coverage is 100% with each parameter having a description and default. The description adds no new information about parameters beyond what the schema provides, so baseline score of 3 applies.

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 generates a revenue report grouped by a dimension within a date range, specifying the metrics returned. This distinguishes it from siblings like analyze_sales_trend (trend analysis) and get_regional_performance (region-specific).

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 implicitly defines use for revenue reports grouped by dimension but lacks explicit when-to-use or when-to-avoid guidance compared to siblings. While the purpose is clear, no alternatives or exclusions are mentioned.

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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