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amirdaraee

Luxembourg MCP

by amirdaraee

get_electricity_prices

Get Luxembourg day-ahead wholesale electricity prices per quarter hour, including the cheapest and most expensive slots.

Instructions

Get Luxembourg day-ahead wholesale electricity prices per quarter hour, with the cheapest and most expensive slots.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.7.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal important behavior: data is day-ahead, wholesale, quarter-hourly, and includes cheapest/most expensive slots. However, it omits details such as units, currency, time zone, output format, or availability caveats, which would be valuable given the absence of an output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the resource and granularity, adds two meaningful qualifiers (day-ahead, wholesale), and notes the extra slot information. No filler or redundant text.

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?

For a parameterless read-only tool, the description gives enough context to invoke it correctly and understand the core output (prices and cheapest/most expensive slots). The main gap is the lack of an output schema and explicit statement about the response format, meaning an agent must assume or infer structural details.

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 has zero parameters)Skip, so the empty schema fully covers this dimension. Per the guidance, a baseline of 4 is appropriate when there are no parameters to document; the description need not explain parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Get') with a clear resource ('Luxembourg day-ahead wholesale electricity prices') and granularity ('per quarter hour'). It also mentions the notable extra of 'cheapest and most expensive slots', which clearly distinguishes it from sibling data-getters like get_fuel_prices or get_housing_prices.

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?

The description implies when to use the tool based on its obvious purpose, but it does not provide any explicit context, exclusions, or references to alternatives. It would benefit from a note like 'Use when you need Luxembourg wholesale electricity pricing data.'

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