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get_rte_france

Access French real-time electricity data on generation, consumption, exchanges, and outages from RTE eco2mix without an API key.

Instructions

French electricity from RTE (eco2mix): real-time generation, consumption, exchanges, outages. No API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate in YYYY-MM-DD format. Defaults to today.
datasetYes"generation" = French real-time generation by source (nuclear, wind, solar, hydro, gas, etc.). "consumption" = French electricity consumption (MW). "exchanges" = Cross-border commercial exchanges with neighbours. "outages" = French generation unavailability (nuclear outages drive EU prices).
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 burden. It discloses the data types and 'real-time' nature, and notes no API key is required, but does not mention read-only behavior, response format, rate limits, historical depth, or units. For a data retrieval tool, this is a significant gap.

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 description is a single concise sentence with a clear structure, front-loading the key data types. It wastes no words, but could be slightly more informative without becoming verbose. The length is appropriate for the schema richness.

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 tool has no output schema, so the description should compensate by explaining return values. It does not mention that the tool likely returns time-series data, nor does it clarify the role of the optional 'date' parameter. For a data-fetching tool with 2 parameters, the description is incomplete.

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 coverage is 100%, with detailed descriptions for both parameters, including enum explanations for 'dataset' and the date format for 'date'. The description repeats the dataset enum values ('generation, consumption, exchanges, outages') but adds no new meaning beyond the schema. Baseline 3 is appropriate.

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 the tool's purpose: retrieving French electricity data from RTE (eco2mix), naming the key data types (generation, consumption, exchanges, outages). It distinguishes from sibling tools by explicitly naming the French/ RTE source and the data scope, even though it does not name an alternative tool.

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 guidance on when to use this tool vs alternatives. The description implies it is for French electricity data but does not mention that other national data sources exist, nor when not to use it. The 'No API key' note is a convenience but not a usage guideline.

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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