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Get a KABO product with live price

get_product
Read-onlyIdempotent

Get one KABO product in full: per-serving nutrition from its own panel, composition quoted from the product page, dietary suitability (vegan, lactose-free; not Jain-suitable), live price and stock for each pack size, price per serving, and a cart link or the store's UCP checkout profile. Read-only: it never places orders.

Input Schema

NameRequiredDescriptionDefault
productYesProduct name or handle, e.g. 'butter coffee', 'white chocolate blueberry', 'assorted'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / product / description
      Previous value: -"e.g. butter coffee, white chocolate blueberry, assorted"New value: +"Product name or handle, e.g. 'butter coffee', 'white chocolate blueberry', 'assorted'."
  2. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful behavior beyond that: it discloses live price and stock, cart link or checkout profile, and explicitly says it never places orders.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense but front-loaded sentence that leads with the core purpose and then enumerates return contents. Most clauses earn their place by describing what the agent will receive, though the sentence is long and semicolon-heavy.

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?

There is no output schema, so the description carries the burden of explaining return values, and it does so thoroughly: nutrition, composition, dietary suitability, live price and stock, price per serving, and cart/checkout link. Combined with annotations covering safety and idempotency, an agent has enough context to call it correctly.

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?

There is one parameter with 100% schema description coverage, and the schema already explains that it accepts a product name or handle with examples. The description adds no syntax or selection guidance beyond the schema, so the baseline of 3 is appropriate.

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 uses a specific verb and resource: "Get one KABO product in full." It also scopes the result to a single product, which implicitly separates it from list_products and compare_products, and it names the exact fields returned.

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 phrase "Get one KABO product in full" implies the tool is for detailed single-product lookup, but it does not explicitly state when to use this versus siblings such as list_products, compare_products, or lookup_food. No alternatives or exclusions are named.

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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