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eu-nordic-open-data-mcp

eu-nordic-open-data-mcp

Fingrid time series by group

fingrid_series

Retrieves Fingrid time series by data group, covering grid snapshots, consumption/production, renewables, frequency, reserves, imbalance, and CO2 for a 1–168 hour lookback.

Instructions

Time series for a group: grid_snapshot, consumption_production, renewables, frequency, reserves, imbalance, co2 (reserves = FCR-N, FCR-D, aFRR, mFRR, FFR capacity prices; imbalance = imbalance price, calculated imbalance, balancing energy prices).

Input Schema

NameRequiredDescriptionDefault
groupYes
hoursBackNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries full behavioral burden. It explains what some groups contain but omits licensing/authentication needs, data freshness, units, return format, and whether the call is read-only—all relevant for a Fingrid data tool.

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?

A single dense sentence front-loads the purpose and then enumerates groups and parenthetical details. It is efficient, though the nested parentheses make it slightly harder to parse than a bulleted list would.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is incomplete for a tool with a time-range parameter, no output schema, and no annotations. It never explains how 'hoursBack' affects results, what the returned series look like, or any licensing constraints, leaving the agent to guess on important dimensions.

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 0%, so the description must compensate. It usefully clarifies the contents of the 'reserves' and 'imbalance' groups beyond the bare enum, but says nothing about the 'hoursBack' parameter (default 24, range 1–168), leaving half the parameters semantically thin.

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 names a specific resource ('Time series') and enumerates the exact group values, so an agent knows what data it retrieves. It does not distinguish this generic series tool from siblings such as fingrid_grid_snapshot or fingrid_co2_intensity, leaving potential overlap unclear.

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 explicit guidance on when to use this tool versus the specialized siblings. The group list implies some usage, but given tools like fingrid_grid_snapshot and fingrid_co2_intensity, the absence of routing guidance is a real gap.

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