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get_sales_by_employee

Read-only

Retrieve gross sales per employee for a specified date range to track individual performance and identify top contributors.

Instructions

Return gross sales grouped by employee for a date window (default: today).

Requires PAYMENTS_R; employee name enrichment additionally requires EMPLOYEES_R (degrades to IDs-only with a note if not granted).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toNo
date_fromNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds valuable behavioral context: required permissions (PAYMENTS_R, EMPLOYEES_R) and the degradation to IDs-only with a note. This goes beyond the annotations without contradicting them.

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 concise sentences: the first states the core function, the second covers permission requirements. Perfectly front-loaded with no filler.

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 simple tool with two optional parameters and an output schema, the description covers the essential aspects: purpose, default behavior, and permission needs. It is complete enough for an agent to invoke correctly.

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 0%, so the description must compensate. It adds meaning with 'date window' and 'default: today', clarifying that nulls mean today. However, it does not specify date format or inclusive/exclusive boundaries, leaving some ambiguity.

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 uses a specific verb ('Return'), names the resource ('gross sales'), specifies the grouping ('by employee'), and defines a date window. It is clearly distinct from sibling tools like get_sales_summary and get_sales_by_hour.

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?

The purpose implies when to use this tool, but there is no explicit comparison to alternatives such as get_sales_summary or get_tips_by_employee. The default 'today' provides contextual guidance for parameter omission, but no exclusions or when-not guidance.

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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