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The Happy Hamper

Check an address

check_address
Read-only

Whether we pick up at an address, and if we do, its pickup options: each day and how often (every week or every other week), the first pickup, when it comes back, and the prices with any subscriber discount.

Input Schema

NameRequiredDescriptionDefault
cityYes
line1YesStreet address, e.g. 123 Main St
stateYese.g. UT
postalCodeYesZIP code

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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 real value by disclosing the shape of the result (cadence, first pickup, return, discounted prices), though it is silent on what happens when an address is not serviceable.

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?

A single sentence, front-loaded with the core question ('whether we pick up at an address') before detailing the payload. Dense but every clause conveys return-value information; only the parenthetical cadence aside is mildly verbose.

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 must describe returns and it does so thoroughly — availability, cadence, first/return pickups, and pricing. The one gap is the negative case: an agent cannot tell whether unserviceable addresses return a flag, an empty list, or an error.

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?

All four parameters are required and self-evident (line1, city, state, postalCode), with 75% schema description coverage. The description adds no addressing guidance beyond the schema, so the baseline 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 states a specific verb+resource ('whether we pick up at an address') and enumerates what the response contains: frequency, first pickup, return date, and prices with subscriber discounts. It is clearly distinguishable from mutation siblings like add_address/update_address, though it never explicitly contrasts with get_pickup_options.

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?

Usage is only implied: an agent can infer this is a pre-signup serviceability/quote lookup. There is no explicit 'use this before start_subscription' or any statement of when to prefer this over get_pickup_options or quote_one_time_pickup.

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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