Skip to main content
Glama

Jockey Delivery — Same-Day Local & Nationwide AI Commerce

Product details

get_product
Read-onlyIdempotent

One product by product_id (from search_catalog) or its delivery.jockeyvc.com url: description, images, variants, the store offer and delivery facts. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoA https://delivery.jockeyvc.com/p/... url.
zipNoShopper's 5-digit ZIP, for the delivery terms.
product_idNoproduct_id from search_catalog.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds the useful behavioral fact that the result spans description, images, variants, store offer and delivery facts, which annotations do not convey. It stops short of noting caching, rate limits, or behavior on unknown ids.

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?

A single dense sentence with no filler: identifiers first, then returned fields, then a one-word safety marker. Nothing can be removed without losing information.

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 3-param read tool with full schema coverage and no output schema, the description covers identifiers, lookup origin, and the shape of the returned data. It does not clarify what happens when both url and product_id are omitted, or which of the two identifiers takes precedence, which is a minor remaining gap.

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

Parameters3/5

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

Schema coverage is 100%, so each parameter is already documented in the schema, including the URL format and the ZIP's purpose. The description restates the identifiers but adds no new syntax or semantic detail beyond the schema, which is the baseline-3 situation.

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 the verb (get), the resource (one product), and its two accepted identifiers (product_id or delivery.jockeyvc.com url). Explicitly names its lookup source, search_catalog, which is also a sibling, so an agent can distinguish this detail-fetch from the catalog search.

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?

Names the alternative source (product_id comes 'from search_catalog') and the url form, so the agent knows what inputs are valid. It does not state when NOT to use it or what to do if the product lookup fails, but the when-to-use context is clear.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources