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The Happy Hamper

Their account

get_account
Read-only

The customer's profile, addresses (with their ids), Laundry preferences, whether a card is saved, subscriptions and one-time bookings, and upcoming pickups. Needs the customer's Happy Hamper login.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered; the description adds the non-obvious auth requirement, which is genuine added context. It stops short of covering behavior on failure (e.g. what happens without a login) or any limits on the booking lists.

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?

Two sentences, front-loaded with the returned data and closed with the auth prerequisite. The content list is dense but each item is distinct and useful; slightly run-on phrasing keeps it from a 5.

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 carries the return-value burden and does so by naming the major data groups the agent will receive. For a zero-parameter read tool with read-only annotations, the only meaningful gap is error/unauthenticated behavior.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; scoring follows the 0-param baseline. The listed return fields are informational rather than parameter clarification.

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 enumerates exactly which account data is returned (profile, addresses with ids, laundry preferences, saved card status, subscriptions, bookings, upcoming pickups), which makes the resource unmistakable against siblings like update_profile or list_past_pickups. It lacks an explicit verb (no 'retrieve'/'fetch'), reading as a noun phrase, but the read 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?

It states the prerequisite ('Needs the customer's Happy Hamper login'), which is real usage guidance, but never says when to call this versus the more targeted siblings such as get_pickup_options or list_past_pickups. Usage is implied by the enumerated contents rather than stated.

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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