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The Happy Hamper

Set Laundry preferences

set_laundry_preferences

The detergent and scent every load is washed with, unless a subscription or pickup says otherwise. Needs the customer's Happy Hamper login.

Input Schema

NameRequiredDescriptionDefault
scentYesnull = unscented
detergentYesfree_clear is fragrance-free, and takes no scent

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare this is a non-read, non-destructive, closed-world write, so the safety profile is covered. The description adds two genuinely useful pieces of context beyond that: the authentication requirement ('Needs the customer's Happy Hamper login') and the override precedence with subscriptions/pickups. It does not say whether the call replaces existing preferences wholesale, which matters since both parameters are required.

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?

Two tight sentences with no filler, leading with what the preferences mean and following with the login requirement. Nothing could be cut without losing 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?

For a simple two-parameter write with full schema coverage and no output schema, the description supplies the authentication requirement and the scope of the setting. It leaves open the return behavior and whether existing subscription-level preferences are touched, which is a modest gap rather than a blocking one.

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 coverage is 100% and the schema itself documents the important semantics (null scent = unscented, free_clear is fragrance-free and takes no scent). The description restates the two field concepts but adds no format, default, or interaction detail beyond the schema, so the baseline of 3 applies.

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 two resources being configured (detergent and scent) and their scope as standing defaults for every load, which is enough to tell it apart from siblings like change_subscription or update_pickup that override those preferences. It never uses an explicit setting verb, but the tool name carries that, so intent is clear.

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 clause 'unless a subscription or pickup says otherwise' implies this is a global default versus per-order overrides, which is useful precedence context. However, there is no explicit statement of when an agent should call this versus change_subscription or update_pickup, and no prerequisites for the login are framed as guidance.

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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