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Crawlora MCP

kroger_search

Read-only

Search Kroger products by keyword: normalized product cards with title, price, unit price, size, SNAP EBT eligibility, and low-stock flag. Page 1 is fully validated; pagination beyond page 1 is best-effort and should be treated as provisional.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
PageNo
SortYes
QueryYes
ScentYes
BrandsYes
FlavorYes
SavingsYes
PriceMaxYes
PriceMinYes
NutritionYes
MoreOptionsYes

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

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description adds genuine behavioral context beyond them: pagination past page 1 is 'best-effort' and 'provisional' while page 1 is fully validated — a real reliability caveat an agent needs when deciding whether to page further.

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 tightly written sentences: the purpose and return shape come first, the pagination caveat second. No filler, and every clause carries information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, yet the description's biggest gap is the nine required, undocumented, untyped-as-empty parameters. For an 11-parameter tool with 0% schema description coverage, the definition leaves an agent unable to fill the required arguments correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and 10 of 11 parameters are required, yet the description only touches Query (keyword) and obliquely Page. Nine required parameters — Sort, Brands, Nutrition, Flavor, Scent, Savings, MoreOptions, PriceMin, PriceMax — are left completely unexplained, including whether they accept empty strings. The description does not compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: search Kroger products by keyword, and even enumerates the returned fields. It does not distinguish itself from close siblings such as kroger_products, kroger_suggest, or kroger_category, so an agent must infer which Kroger entry point to pick.

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?

Keyword search implies its own use case, but there is no explicit when-to-use guidance, no mention of when to prefer kroger_suggest or kroger_products instead, and no prerequisites such as store selection or authentication. Usage is only implied by the tool name and the word 'keyword'.

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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