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The Happy Hamper

What we charge and where

get_service_info
Read-only

The areas we pick up in, the current prices (in cents, before tax) and the subscriber discount, and the first day a pickup can be booked.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral detail that the annotations do not: prices are in cents and pre-tax, and a subscriber discount is included. It does not address staleness of prices, whether the first-bookable-day reflects real-time availability, or any caching behavior.

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 that leads with the most important item (service areas) and enumerates the rest efficiently. Slightly awkward as a bare noun phrase with no verb, and the title 'What we charge and where' partly duplicates the first clause, but 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?

With no output schema, the description is the only contract for return values, and it enumerates the four pieces of information an agent should expect. That is sufficient to decide whether a follow-up call (e.g. quote_one_time_pickup) is needed, though it does not say whether the values are structured per-region or flat.

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. Baseline 4 applies; the description correctly implies a parameterless global lookup rather than anything scoped by address or account.

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 specific content the tool returns: pickup areas, current prices in cents before tax, the subscriber discount, and the earliest bookable pickup date. That is concrete enough for an agent to distinguish it from pricing-adjacent siblings like quote_one_time_pickup, though the noun-phrase phrasing never states a verb ('returns'/'retrieves'), so the purpose is inferred rather than declared.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance, and no sibling is named. An agent must guess whether to call this or quote_one_time_pickup/get_pickup_options for pricing questions. The content list implies a static service/pricing lookup, but that is inference, not 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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