Skip to main content
Glama
kimhjort

aria-mcp-elpriser

by kimhjort

get_cheapest_hours

Find the cheapest electricity hours for a specific date, sorted by price, to schedule appliance use or EV charging. Prices are raw spot prices and exclude taxes and tariffs.

Instructions

Fetch the cheapest electricity hours for a given date, sorted by price ascending. Use this to advise Kim on the best time to run the dishwasher, EV charging, etc. IMPORTANT: Prices are raw Nord Pool spot prices and EXCLUDE Danish taxes, tariffs, and transport costs. The total consumer price is significantly higher.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
areaNoPrice area: "DK1" (West Denmark) or "DK2" (East Denmark, default). Defaults to the DEFAULT_PRICE_AREA env var if set, otherwise "DK2".
dateNoDate to query: "today" (default), "tomorrow", or a date in YYYY-MM-DD format. Note: tomorrow's prices are published around 13:00 CET — the API returns 404 before that.
countNoNumber of cheapest hours to return (default 3, max 24).
Behavior5/5

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

Discloses that prices are raw spot prices excluding taxes/tariffs, and notes 404 risk for tomorrow's prices before 13:00 CET. No annotations, so description carries full burden and does well.

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?

Short and front-loaded with purpose. Every sentence earns its place; no wasted words.

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?

Covers main behavioral aspects but lacks return format details (e.g., what fields are in each result). Still adequate given no output schema.

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?

Schema coverage is 100% with good descriptions for each parameter. The description adds value with the tax note, but beyond that, it doesn't significantly extend schema info.

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 clearly states the tool fetches cheapest electricity hours for a given date, sorted by price. It distinguishes from siblings like get_current_price and get_prices by focusing on cheapest hours.

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?

Explicitly advises using it for advising Kim on best times for appliances. Implicitly differentiates from siblings but doesn't explicitly state when not to use it or mention alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kimhjort/aria-mcp-elpriser'

If you have feedback or need assistance with the MCP directory API, please join our Discord server