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Product options

get_product_options
Read-onlyIdempotent

The options of a product: sizes, extras, ingredients to choose, free text and which are required, with option_id/choice_id and prices in the format quote_order and place_order take.

Input Schema

NameRequiredDescriptionDefault
shopNoThe "shop" value from find_shops (not needed on a shop's own address <shop>.lenius.app/mcp)
product_idYesproduct_id from search_products or get_menu

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuine value by noting the prices come back in the exact shape quote_order/place_order accept, which is a non-obvious behavioral contract; it says nothing about pagination, missing options, or failure behavior.

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?

A single dense sentence that front-loads the resource and then the payload detail, with no throat-clearing. It is slightly packed — the middle clause listing option kinds runs long — but every element carries 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?

With no output schema, the description takes on the burden of describing returns and does so competently: option kinds, required flags, option_id/choice_id, and price format. It doesn't describe overall response shape or how to handle products with no options, leaving a small gap for an agent parsing the result.

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 description coverage is 100% and both parameters (shop, product_id) carry their own guidance, including where to source the values from. The description adds no parameter-level detail, so it sits at the baseline where the schema does all the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource precisely ('the options of a product') and enumerates what those options contain (sizes, extras, ingredients, free text, required flags, ids, prices), which is well beyond restating the name. It stops short of an explicit verb like 'returns' and doesn't contrast itself with the closely related get_product sibling, so an agent still has to infer the boundary.

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 reference to 'the format quote_order and place_order take' implicitly tells the agent this is a pre-ordering lookup, which is useful routing signal. However, there is no explicit 'use this when…' instruction and no stated exclusions (e.g., when to prefer get_product or search_products instead).

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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