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The Happy Hamper

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Regular pickups on an option from get_pickup_options. Get the customer's go-ahead on the day and price first. Needs the customer's Happy Hamper login.

Input Schema

NameRequiredDescriptionDefault
bagsYesBags each pickup is booked with: 1 or 2 (the 1-bag or 2-bag price)
bagCountNoBags every pickup has, extra ones included (extras cost more)
addressIdYesPickup address
discountCodeNo
dropoffAddressIdNoWhere it comes back; the pickup address if left out
serviceZoneScheduleIdYes

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 readOnly=false, destructive=false, openWorld=false, so the safety profile is covered. The description adds genuinely useful context beyond that — the auth requirement (Happy Hamper login) and the confirmation-before-booking rule — but says nothing about card charging, effective start date, or failure behavior for a mutation.

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 short sentences, front-loaded with the core action and followed by the prerequisite. No filler, though the opening fragment lacks an explicit verb and reads slightly telegraphic.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 6-parameter mutation with no output schema, the description covers the workflow entry point and auth but omits what happens on success (subscription id? first pickup date?), billing implications, and the meaning of the optional params. Adequate but not complete.

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 67%, so the schema carries most of the parameter meaning. The description only hints that serviceZoneScheduleId comes from get_pickup_options; it does not clarify the confusing bags-vs-bagCount distinction (price tier vs. total bags) or explain discountCode, which the schema leaves undocumented.

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?

States a specific outcome — setting up regular/recurring pickups — and anchors it to an option returned by get_pickup_options, which implicitly separates it from book_one_time_pickup. The verb is somewhat elliptical ('Regular pickups on an option...'), but the resource and scope are unmistakable.

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?

Gives a clear prerequisite chain: call get_pickup_options first, confirm day and price with the customer, then start. It does not explicitly name when to prefer book_one_time_pickup or change_subscription/update_subscription instead, so the sibling routing is left to inference.

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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