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Glama
DashinIN

x5-mcp

by DashinIN

x5_get_top_products

Read-onlyIdempotent

Identify top products by the number of distinct receipts in a date range, with total quantity and last purchase date. Filter results by store network or category to focus the analysis.

Instructions

Частые товары по числу разных чеков, с количеством и последней покупкой. Фильтры периода, сети, категории.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYes
fromYes
limitNo
networkNo
categoryCodeNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.1

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish read-only/idempotent/non-destructive behavior. The description adds useful behavioral information: aggregation by number of distinct receipts, inclusion of quantity and last purchase, and available filters. It does not disclose output ordering or limit behavior, but the core semantics are transparent.

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 deliver the essential purpose and filters with no filler. The key aggregation logic is front-loaded and every phrase earns its place.

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?

The description covers the main operation and filters, but with no output schema it omits the exact return shape, ordering, and limit behavior. An agent could call the tool correctly from the schema, yet would need to infer how the result list is structured and sorted.

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?

With 0% schema description coverage, the description compensates by mapping period to from/to, network to the network filter, and category to categoryCode. The limit parameter is not mentioned, though its default/min/max are present in the schema, so the missing semantic is minor.

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 names a specific resource (top products), defines the ranking metric (number of distinct receipts), and lists the returned attributes (quantity, last purchase). This makes the tool's function clear and distinguishable from siblings like x5_get_product_history or x5_search_purchases.

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 filters for period, network, and category imply when the tool is applicable, but the description gives no explicit guidance on when to choose this tool over alternatives or when not to use it. Usage context is implied rather than stated.

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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