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AndrewVG23

io.github.AndrewVG23/grocery-mcp

by AndrewVG23

create_grocery_handoff

Convert a grocery list into direct product links for a selected retailer, enabling manual checkout.

Instructions

Match a grocery list to direct retailer product links for manual checkout.

Args: retailer: kettle_range or outpost. items: Grocery items with name and optional quantity/unit/brand/notes. location_id: Store id from find_grocery_retailers. postal_code: Optional user postal code, retained for future retailer routing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
retailerYes
location_idNo
postal_codeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

There are no annotations, so the description must disclose side effects and limitations. It states the output (product links for manual checkout) but does not explicitly say the tool creates a handoff record, whether it is a write operation, or any related side effects. The name 'create' implies writing, but the description's verb 'match' underplays this. Limited disclosure of behavior beyond the basic function.

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 concise and well-structured: a one-sentence summary followed by an Args list. Every line provides essential information with no fluff. The front-loaded purpose makes the tool's intent immediately clear.

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?

Given the tool's moderate complexity (4 params, 0% schema coverage, no annotations), the description is fairly complete. It covers all parameters, mentions a dependent tool, and notes the manual checkout context. However, it lacks explicit usage guidelines and behavioral details, leaving some gaps. The existence of an output schema mitigates the need to describe return values.

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?

With 0% schema description coverage, the description fully compensates. It explains each parameter: retailer values, items structure with optional fields, location_id source from find_grocery_retailers, and postal_code purpose. This adds significant meaning beyond the bare schema and aids correct invocation.

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's function: 'Match a grocery list to direct retailer product links for manual checkout.' This is a specific verb+resource combination that distinguishes it from siblings like get_grocery_handoff (which retrieves) and create_handoff_from_template (which uses a template). The use of 'match' and 'manual checkout' clarifies it creates product links rather than completing a purchase.

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 description provides context on when to use the tool by mentioning 'manual checkout' and specifying retailer options ('kettle_range or outpost'). It also references find_grocery_retailers for location_id, implying a prerequisite step. However, it does not explicitly contrast this with alternatives like creating from a template or searching products, so guidance is implied but not fully explicit.

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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