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kroger_find_stores

Find nearby Kroger-banner store IDs by ZIP code and optional chain filter to enable deal searches.

Instructions

Find nearby Kroger-banner store IDs, needed once to use kroger_search.

Args: zip_code: 5-digit US ZIP code. Optional if GROCERY_ZIP is set. chain: optional banner filter, e.g. "Harris Teeter", "Kroger", "Ralphs". Matched against store name and chain code, so the everyday spelling works.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo
zip_codeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. The verb 'Find' implies read-only, and the description clarifies it returns store IDs, but it doesn't explicitly state side-effect-free behavior, output shape, or edge cases. Adequate for a simple lookup.

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 succinct and front-loaded: a one-sentence purpose followed by an Args section. The example and matching note are useful without being verbose.

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?

For a simple find tool with two optional parameters, the description covers purpose, prerequisite, and parameter details. An output schema exists, so return values don't need description. Minor gap: does not define 'nearby' radius or result ordering, but not essential.

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

Parameters5/5

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

The input schema has no descriptions for the two parameters, but the description fully compensates. It explains zip_code format and optionality, and chain filtering with examples and matching semantics ('Matched against store name and chain code'), adding significant value.

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?

Clearly states 'Find nearby Kroger-banner store IDs' with a specific verb and resource. It also explicitly positions the tool as a prerequisite for kroger_search, distinguishing it from sibling tools like list_stores.

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?

Explicitly provides when-to-use guidance: 'needed once to use kroger_search'. It also explains parameter optionality and the chain filter. It doesn't explicitly mention alternatives or when not to use it, but the context is strong.

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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