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get_entsog_data

Fetch ENTSOG gas pipeline data for EU TSOs, including physical flows, nominations, interruptions, and capacities. Filter by country and date, no API key required.

Instructions

ENTSOG gas pipeline data: physical flows (GWh/d), nominations, interruptions, capacities. All EU TSOs. No API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate in YYYY-MM-DD format. Defaults to yesterday.
countryNoISO-2 country code to filter by operator country (e.g. DE, NL, AT, FR, IT, PL). Optional.
datasetYes"physical_flows" = actual gas pipeline flows (GWh/d) between points. "nominations" = day-ahead nominated gas volumes. "interruptions" = pipeline capacity interruptions and maintenance. "capacities" = technical/booked/available pipeline capacities.
Behavior3/5

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

With no annotations provided, the description carries the burden and adds useful context: no API key required and coverage of all EU TSOs. However, it does not disclose rate limits, data freshness, pagination, or behavior for invalid dates/country codes, so transparency is partial.

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 a single front-loaded sentence that lists core datasets and key access facts, with no filler or repetition of schema details. Every word adds value.

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 read-only data retrieval tool with 3 params and no output schema, the description plus rich schema covers dataset selection, date, and country filters. It lacks return format and limitations, but the tool complexity is low and 'No API key' plus 'All EU TSOs' provides enough operational context.

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 100%, and the dataset enum has thorough per-value explanations (e.g., physical_flows = actual flows in GWh/d). The description adds the unit GWh/d and EU-wide TSO coverage but doesn't need to compensate since the schema already documents parameters well.

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?

Description identifies the resource (ENTSOG gas pipeline data) and enumerates specific datasets (physical flows, nominations, interruptions, capacities), which clearly distinguishes it from sibling energy tools. It lacks an explicit verb like 'returns' but the tool name and data listing make the purpose clear.

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 implies when to use the tool: when EU gas pipeline flow, nomination, interruption, or capacity data is needed. It does not explicitly state alternatives or exclusions, such as using get_eu_gas_price for price data, but the ENTSOG gas specificity is an implicit usage signal.

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

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