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eu-nordic-open-data-mcp

eu-nordic-open-data-mcp

FMI Weather + Fingrid Wind/Solar/Consumption Nowcast Feed

fmi_fingrid_nowcast

Combine FMI weather forecasts with Fingrid wind, solar and consumption data to assess hourly ramps, storm cut-out risk and EV smart-charging rankings for Finnish energy hubs.

Instructions

Hourly joined feature feed combining FMI meteorological forecasts (wind speed, gusts, global solar radiation, cloud cover, temperature, heating degree hours across Finnish wind/solar/demand hubs) with Fingrid wind, solar, and electricity consumption forecasts and actuals. Includes 1h wind/residual ramps, storm cut-out flags, and EV smart-charging rankings. Uses NO Nord Pool or ENTSO-E day-ahead prices.

Input Schema

NameRequiredDescriptionDefault
topNNo
placesNo
hoursBackNo
hoursAheadNo
includeStationBreakdownNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden; it lists included features and excludes Nord Pool/ENTSO-E prices, but it does not state read-only behavior, data freshness or latency, response shape, or limits. For a data feed with no output schema, this leaves substantial behavioral gaps.

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 three-sentence description front-loads the core 'hourly joined feature feed' and then packs in source variables and feature details without obvious filler. It is dense but appropriately sized for a complex joined data product.

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?

Given five undocumented parameters, no annotations, and no output schema, the description should explain parameter usage and return shape but does not. It gives a useful inventory of included data but is incomplete for correct invocation.

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

Parameters1/5

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

All five parameters (topN, places, hoursBack, hoursAhead, includeStationBreakdown) have 0% schema description coverage, and the description never explains their meaning, defaults, units, or effects. The mentions of 'hubs' and 'hourly' are too indirect to map meaningfully to the places and time-window parameters.

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 specifies a joined hourly feature feed and enumerates the FMI and Fingrid variables it combines, so the agent can tell it apart from raw weather or grid-series tools. It does not explicitly name sibling alternatives, but the 'joined feature feed' framing and the no-day-ahead-price note provide useful differentiation.

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?

There is no explicit when-to-use/when-not guidance or named alternative among tools like fmi_station_weather, fingrid_series, or fingrid_cheap_hours. The phrase 'Hourly joined feature feed' implies its nowcasting use case, but the agent must infer that from context.

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