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find_us_equivalents

Read-onlyIdempotent

What several medicines from another country are in the US — the list a person brought from home.

Use when the person names two or more medicines that are not US products
(brands from home, names in another script) and asks what they are here.
``brands`` is two to six names as typed; optional ``country`` picks between
brands of the same name sold in different places. One medicine: use
find_us_equivalent.

Returns one entry per medicine found, each exactly as find_us_equivalent
gives it: ``usClass``, the reviewed ``guidance`` sentence (quote it word for
word), the US product and where its card prices start ONLY when it has the
same active ingredient, and the card. Names that matched nothing are
counted and left out — never guess what they are.

Next: for each entry quote ``guidance``; name no substitute for
``rx_alternative`` and ``no_equivalent``; then offer compare_basket for the
US products that have the same active ingredient.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandsYes
localeNo
channelNo
countryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds real behavioral context beyond them: unmatched names are 'counted and left out — never guess,' and it discloses what each entry contains and where prices appear only when active ingredients match.

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?

Front-loaded with the core purpose and the routing rule, then the return shape, then next steps. Backticked field names aid scanning. The 'Next:' workflow block is slightly verbose but each line adds routing value, so it largely earns its place.

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?

There is no output schema, but the description compensates by enumerating the per-entry fields (usClass, guidance, US product, price start condition, card) and the unmatched-name behavior. Only 'locale' and 'channel' remain unexplained for a four-parameter tool.

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 0%, so the description must carry the load. It documents 'brands' (two to six names as typed) and 'country' (disambiguates brands of the same name sold in different places), but says nothing about 'locale' or 'channel', leaving half of the four parameters undocumented in both places.

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 a specific verb and resource ('What several medicines from another country are in the US') and immediately distinguishes the batch scope from the singular sibling: 'One medicine: use find_us_equivalent.' An agent can tell it apart from find_us_equivalent without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when-to-use ('person names two or more medicines that are not US products... asks what they are here') and an explicit alternative plus its selecting condition ('One medicine: use find_us_equivalent'). It also specifies the follow-up path (offer compare_basket), leaving nothing to inference.

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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