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AiAgentKarl

Energy Grid MCP Server

get_global_power_mix

Retrieve the electricity generation mix by source for any global zone. Input a zone code (e.g., DE, FR) to get the power breakdown.

Instructions

Strommix für eine globale Zone (benötigt ELECTRICITY_MAPS_TOKEN).

Args: zone: Zone-Code, z.B. 'DE', 'FR', 'ES', 'US-CAL-CISO'.

Returns: Aufschlüsselung der Stromerzeugung nach Quelle (MW).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zoneYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the authentication requirement (ELECTRICITY_MAPS_TOKEN) and the return format (breakdown by source in MW). However, it does not mention rate limits, idempotency, or any destructive behavior.

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 concise with a clear structure: a short sentence followed by Args and Returns sections. No extraneous text. However, it mixes German and English, which could be slightly confusing.

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?

Given the tool has one parameter, no output schema, and no annotations, the description adequately covers the parameter, return value, and authentication. It could be improved by referencing relevant sibling tools for better context, but it is still complete enough for effective use.

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 single parameter 'zone' is described with examples ('DE', 'FR', 'ES', 'US-CAL-CISO') and explained as a zone code. This adds significant meaning beyond the schema's title and type. Schema description coverage is 0%, but the tool description compensates well.

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 states that the tool retrieves the power mix for a global zone, requiring a token. It distinguishes from sibling tools like get_uk_power_mix by specifying 'global zone' and providing examples such as DE, FR, US-CAL-CISO. However, it lacks an explicit verb like 'retrieve' or 'get'.

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 indicates usage by providing zone examples and requiring a token. However, it does not explicitly state when to use this tool over alternatives such as get_global_carbon_intensity or find_greenest_time_window. Usage context is implied but not explicit.

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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