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Schimmilab

tibber-mcp-server

by Schimmilab

Get Live Measurement

get_live_measurement

Fetch live power consumption, min/max, daily usage and cost from Tibber Pulse. Waits up to 15 seconds for available data.

Instructions

Live-Messung vom Tibber Pulse: aktuelle Leistung (W), Min/Max im Messfenster, Tagesverbrauch (kWh) und Tageskosten (EUR). Wartet bis zu 15 Sekunden, endet sobald Messwerte vorliegen. Benötigt einen Tibber Pulse am Zähler.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
home_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It meaningfully discloses that the tool waits up to 15 seconds and finishes as soon as measurements are available, and it calls out the required hardware. It does not mention error behavior or auth requirements, but this is still a reasonably transparent read-like tool description.

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?

The description is compact and well-structured: it leads with the data returned, then states the timeout behavior, then the prerequisite. Every sentence adds useful information and there is no filler.

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 simple tool with one optional parameter and an output schema, the description is nearly complete: it explains what data is returned, how long the call may take, and what hardware is needed. The main gaps are home_id semantics and explicit routing against sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one parameter, home_id, and schema description coverage is 0%. The description does not mention home_id at all, nor does it explain how the target home is selected or what null means. Since schema coverage is low, the description was expected to compensate, but it does not.

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 the tool's function: retrieving a live measurement from Tibber Pulse, with specific fields listed (current power in W, min/max in the measurement window, daily consumption in kWh, daily costs in EUR). The word 'Live' helps distinguish it from historical consumption siblings, though it does not explicitly name alternatives.

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 gives useful context by stating a prerequisite ('Requires a Tibber Pulse at the meter') and describing the wait behavior. However, it does not explicitly say when to use this tool instead of siblings like get_consumption or get_current_price, nor does it state when not to use it.

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