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iDevice Wearables

Compare two or three products

compare_products
Read-only

Side-by-side specs for 2 or 3 products, from the same engine as idevice.com/compare. Each cell carries Confirmed/Reported/Our read and its source outlet and date. Products in different categories are compared on shared structured facts only. Optional specs filters rows by keyword, e.g. ['battery','sleep'].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specsNoKeywords to keep only matching rows
product_slugsYese.g. ['oura-ring-4','samsung-galaxy-ring-1']

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=true, openWorldHint=false), and the description goes beyond them by disclosing the output's provenance model (Confirmed/Reported/Our read with source outlet and date) and the cross-category comparison limitation.

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?

Three dense sentences, front-loaded with what the tool returns before the optional filter. Every sentence carries information, though the 'same engine as idevice.com/compare' clause is the weakest.

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?

With no output schema, the description still explains the shape of each result cell and its sourcing, and annotations already carry the read-only safety profile. An agent has everything needed to call and interpret it.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds value by giving a concrete keyword example (['battery','sleep']) that clarifies how the specs filter actually matches rows.

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 (side-by-side compare) and resource (specs for 2-3 products), and the 'from the same engine as idevice.com/compare' note plus the 2-3 product limit clearly separates it from siblings like get_product_facts and get_detailed_facts.

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?

Implies usage clearly (compare 2-3 products at once) and adds a real constraint: products in different categories are compared on shared structured facts only. It does not name an alternative or state when not to use it, so it stops short of a 5.

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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