Skip to main content
Glama

Gameshop Enter — retro Nintendo & Pokémon TCG (EU)

Store, shipping and returns information

store_info
Read-onlyIdempotent

Shipping costs and delivery times per EU country, free-shipping thresholds, 30-day return policy, payment methods, languages and the public profiles where Gameshop Enter can be verified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered without the description's help. The description adds that this is static store-level policy content (a useful hint that no external lookup is involved), but says nothing about data freshness, currency of shipping rates, or regional coverage beyond the EU.

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 that lists the highest-value items (shipping, returns) first with zero filler. It is a long run-on inventory rather than a grouped list, but every item earns its place and nothing is redundant.

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 parameters and no output schema, the description effectively doubles as the return-content specification by naming all the policy categories available. It covers what an agent needs to decide to call it, though it omits any note on granularity (e.g., per-country structure) or freshness of the rates.

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 the baseline of 4 applies. There are no arguments whose meaning the description would need to clarify, and the enumerated topics serve as an implicit map of what can be asked for.

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 exact resource scope — shipping costs/delivery times per EU country, free-shipping thresholds, return policy, payment methods, languages, verification profiles — which clearly separates it from the product- and quote-oriented siblings. It lacks an explicit verb ('returns'/'retrieves'), but the noun-phrase inventory leaves no ambiguity about what the tool surfaces.

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?

There is no explicit when-to-use statement or reference to alternatives such as get_quote. Usage is only implied by the enumerated topics: an agent can infer it should call this for policy/shipping/returns questions rather than product lookups, but that inference is left entirely to the reader.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources