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Eu Energy Imports

by io.github.pipeworx-io
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Energy Mix

energy_mix
Read-onlyIdempotent

A country's (or the EU's) energy mix: gross available energy split into natural gas, oil, solid fossil fuels, renewables, nuclear, waste, and net electricity and heat, in terajoules and as a percentage share, for one year. Source: Eurostat energy balances.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "geo": "DE",
      "year": 2023
    },
    "name": "energy_mix"
  }
}

Input Schema

NameRequiredDescriptionDefault
geoNo2-letter country code or "EU". Default "DE".
yearNoYear (default: latest published)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so safety is covered. The description adds valuable context beyond annotations: data source (Eurostat energy balances), units (terajoules and percentage share), fuel category breakdown, one-year granularity, and geographic coverage (country or EU). It does not cover data freshness or rate limits, but the added context is substantial.

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?

The description is a single compact sentence that front-loads the main concept and packs all essential details without filler. The list of fuel categories is dense but necessary for understanding the output. It could be slightly more scannable with bullets, but it is efficient and well-structured.

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 carries the burden of explaining return values, and it does so well: it names the fuel categories, units (terajoules and percentage share), and one-year scope. It does not mention edge cases like missing years, pagination, or response shape, but for a simple read-only data retrieval tool, the explanation is largely complete.

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 description coverage is 100%, so both parameters (`geo` and `year`) are fully documented in the schema with defaults. The description reinforces the scope ('one year', 'country or the EU') but adds no syntax or format details beyond the schema. Baseline 3 is appropriate when the schema already does the heavy lifting.

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 clearly identifies the resource (energy mix) and specifies the exact data dimensions: gross available energy, seven fuel categories, terajoules and percentage shares, one year, country or EU scope. It does not use an explicit verb like 'get' but is unambiguous for a data-retrieval tool. No direct sibling overlaps, so sibling differentiation is inherently satisfied.

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 use this tool, what defaults apply, or how it relates to alternatives. The description implies it returns one year of data but never states exclusions, prerequisites, or typical use cases. An agent must infer usage from the schema and context alone.

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

All Eu Energy Imports toolsInspect
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