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Luxembourg MCP

by io.github.amirdaraee
OverviewDiscussionsAdmin

get_electricity_grid

Get Luxembourg's latest daily electricity load, generation by production type and cross-border flows (ENTSO-E actuals).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_electricity_grid"
  }
}

Input Schema

NameRequiredDescriptionDefault
include_seriesNoAlso return the 15-minute load and generation series

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the upstream source and freshness (ENTSO-E actuals, latest daily), but says nothing about rate limits, auth needs, data latency, or what happens when a day's actuals are not yet published. Read-only is only implied by 'Get'.

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?

One sentence, front-loaded with the verb and the geographic scope, and every clause (load, generation by type, cross-border flows, source) earns its place. Nothing is padded or 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?

For a read-only fetch with one optional parameter and no output schema, the description adequately conveys what data comes back and at what granularity, and the schema covers the series flag. It stops short of covering edge cases such as missing/partial actuals or timezone handling, but nothing essential to calling it correctly is absent.

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 100% and the single parameter (include_series, default false) is fully documented in the schema, including that it returns 15-minute load and generation series. The description adds no syntax or default behavior beyond that, so the baseline 3 applies.

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?

Specific verb (Get) plus resource (Luxembourg's electricity grid) with the exact payload enumerated: daily load, generation by production type, and cross-border flows. The content profile is unmistakably distinct from the nearest sibling get_electricity_prices, which covers prices rather than physical grid data.

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?

Usage is implied by the resource: an agent needing grid load/generation/flow actuals would pick this over get_electricity_prices. However, there is no explicit when-to-use statement, no exclusion of the prices sibling, and no guidance on whether 'latest daily' means one day or a rolling window.

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

All Luxembourg MCP toolsInspect
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