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Crawlora MCP

kroger_products

Read-only

Full detail for up to 50 Kroger products in one call, from Kroger's own product API: nutrition-facts panel with ingredients/allergens/dietary flags, store-specific price and stock level, star-rating histogram, merchandising hierarchy, and every image perspective. upcs is a comma-separated list of product ids; location_id scopes price and stock to one store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
UPCsYes
LocationIDNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuine behavioral value by enumerating the returned payload (nutrition panel, store-specific price/stock, rating histogram, merchandising hierarchy, image perspectives), telling the agent what a read actually yields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two dense sentences, front-loaded with the core capability and followed by the parameter clarifications. The payload enumeration is long but earns its place for a detail tool; no filler sentences.

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?

An output schema exists, so return structure needn't be re-explained, yet the description still characterizes the data richness and the store-scoping behavior of the optional parameter. Coverage is largely complete for a two-parameter read tool; only explicit sibling routing is missing.

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 0%, so the description must compensate, and it does: UPCs is described as a comma-separated list of product ids, and LocationID as scoping price and stock to one store. The format of the required list parameter is clarified where the schema is silent.

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?

States a precise verb (batch-fetch full detail) and resource (Kroger products), including the batch size limit of 50 in one call. This cleanly distinguishes it from the single-product sibling kroger_product and from kroger_search, without opening either schema.

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 'up to 50 in one call' framing implies batch usage as opposed to a single-product lookup, but the description never explicitly states when to choose this over kroger_product or kroger_search, nor any prerequisites. Usage is inferable but not spelled out.

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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