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LivaGlow Shop

Shop overview

get_shop_overview
Read-onlyIdempotent

Facts about LivaGlow and its single product, the personalised ceramic mug: specs, fixed prices, volume discount, shipping (Germany only), delivery, returns policy, photo requirements and key URLs.

Input Schema

TableJSON 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, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds useful scope information (Germany-only shipping, fixed prices) but says nothing about staleness, caching, or how the fact sheet is structured beyond the topic list.

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 front-loaded sentence with no filler, and the product identity is stated before the content list. The long comma-separated enumeration is dense but every item is informative, so it earns its length.

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 zero parameters, no output schema, and full annotation coverage, the description's enumeration of returned topic areas is the main thing an agent needs, and it supplies that. A brief note on how it relates to the narrower siblings would make it complete.

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 no parameters, so the baseline of 4 applies; there is nothing for the description to clarify or compensate for on this dimension.

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 the concrete content the tool returns (specs, fixed prices, volume discount, shipping, delivery, returns, photo requirements, URLs) for a named shop and product, so an agent knows exactly what it gets. It is not a tautology, but it does not differentiate itself from siblings like get_delivery_estimate, get_care_and_safety, or calculate_price, which cover overlapping topics.

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 guidance on when to call this versus the many siblings whose subject matter overlaps (delivery, care/safety, pricing). The agent must infer that this is the broad orientation call rather than the specific one, with no exclusions or ordering advice given.

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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