Skip to main content
Glama
AndrewVG23

io.github.AndrewVG23/grocery-mcp

by AndrewVG23

search_grocery_products

Search a grocery retailer's public catalog to retrieve ranked direct product links, enabling product research and handoffs without cart or order placement.

Instructions

Search one retailer's public catalog and return ranked direct product links.

Args: retailer: kettle_range or outpost. query: Product name, such as boneless chicken thighs. location_id: Store id from find_grocery_retailers. limit: Maximum matches, 1-10. brand: Optional preferred brand.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandNo
limitNo
queryYes
retailerYes
location_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses a read-only search over a public catalog and says the output is ranked direct product links, though it doesn't detail error handling or rate limits.

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 compact: one lead sentence followed by a clear Args block. Each parameter gets a brief, useful explanation with no redundant or filler content.

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?

With an output schema present and all parameters documented, the description covers everything needed to invoke the tool. It also references find_grocery_retailers for location_id, completing the workflow context.

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 schema has 0% description coverage, but the description manually documents all five parameters with concrete values and examples. It fully compensates by explaining retailer options, query examples, limit bounds, and brand optionality.

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 clearly states the tool searches one retailer's public catalog and returns ranked product links. This distinguishes it from sibling tools like find_grocery_retailers and the handoff/template creation tools.

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?

It specifies single-retailer product search and notes that location_id comes from find_grocery_retailers, providing useful context. However, it doesn't explicitly state when not to use this tool or alternative options for multi-retailer searches.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AndrewVG23/grocery_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server