Skip to main content
Glama
manas-katyal

EnergiMCP

by manas-katyal

Power system right now

get_power_system_now
Read-only

Need to know current Danish power mix and grid flows? Get a one-minute snapshot with production, carbon intensity, and interconnector exchange values.

Instructions

A one-minute snapshot of the Danish power system: production by source, wind and solar output, carbon intensity, and the flow on every interconnector. Positive exchange values are imports into Denmark; production plus net import equals consumption.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior5/5

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

Beyond the readOnlyHint and openWorldHint annotations, the description explains important semantics: positive exchange values mean imports, and it gives the balance identity 'production plus net import equals consumption.' This is exactly the kind of interpretational context that helps an agent use results correctly.

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?

Two sentences carry a large amount of useful information with no filler. The core subject is front-loaded, and the sign-convention detail is placed where it is most relevant.

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 no-parameter, no-output-schema tool, the description sufficiently enumerates the data categories and the key interpretation rule. It does not specify units or timestamp details, but the overview is complete enough for an agent to know what this tool returns and when to call it.

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 and the schema fully covers everything needed, so the description has no parameter burden. The baseline for a no-parameter tool is appropriately high, and the description provides no conflicting or missing parameter information.

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 specifies the resource (Danish power system snapshot) and the included fields (production by source, wind/solar output, carbon intensity, interconnector flows). It lacks an explicit comparison to sibling tools like get_carbon_intensity or get_electricity_prices, so it does not quite reach the top score, but the purpose is unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'one-minute snapshot' combined with 'right now' provides clear contextual guidance: this tool is for current, aggregate power-system state rather than historical or exploratory data. It does not explicitly mention alternatives or exclusions, so it stops short of a 5.

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