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check_warranty

Look up a brand's standard manufacturer warranty for the US: coverage length (only when the brand's page states it), what it excludes, and where to claim. Optional purchase_date places the term on a calendar. Mints a public TRACE receipt. Not store return windows.

Input Schema

NameRequiredDescriptionDefault
as_ofNoYYYY-MM-DD; default today
brandYesBrand name, e.g. Apple, Samsung, Nike
regionNoOnly US in v0US
productNoFree text product, e.g. iPhone 15 Pro
categoryNoFree text category, e.g. phone, tv, laptop
purchase_dateNoYYYY-MM-DD

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and discloses important limits ('only when the brand's page states it') plus a side effect ('Mints a public TRACE receipt'). It does not cover auth requirements, rate limits, or how to retrieve the receipt, so it is strong but not exhaustive.

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?

The description is three compact sentences with the core purpose front-loaded. Every sentence contributes useful scope, output, or side-effect information, and there is no filler.

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?

Given six parameters, no annotations, and no output schema, the description does well by explaining the returned fields (coverage length, exclusions, claim location) and the receipt side effect. A small gap remains around how to use the sibling receipt tool and the role of product/category inputs.

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%, so the schema already documents all six parameters. The description adds meaning for purchase_date by saying it places the term on a calendar, but it leaves as_of, product, and category to the schema and adds little beyond the parameter-level documentation.

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 states a specific verb and resource: looking up a brand's US manufacturer warranty, including coverage length, exclusions, and claim location. It distinguishes the tool from store return windows, but does not explicitly distinguish it from the sibling get_warranty_receipt.

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?

It gives a clear when-not exclusion ('Not store return windows') and notes that purchase_date is optional for calendar placement. However, it does not name the sibling get_warranty_receipt or explain when to use that receipt-retrieval tool 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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