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get_solar_irradiance

Retrieve solar irradiance and PV yield for any location from PVGIS. Get monthly kWh/m², optimal angle, and annual yield without needing an API key.

Instructions

Solar irradiance and PV yield from PVGIS. Monthly kWh/m2, optimal angle, annual yield. No API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude (-90 to 90). Example: 48.86 for Paris.
lonYesLongitude (-180 to 180). Example: 2.35 for Paris.
yearNoSpecific year for hourly time series (2005-2023). Omit for long-term monthly averages.
Behavior3/5

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 that no API key is needed and lists the key return types, which is useful. However, it does not mention geographical coverage, limitations, error handling, or output structure, leaving gaps for a data-retrieval tool.

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 extremely concise, consisting of three short clauses in two sentences. Every word adds value: the source (PVGIS), the outputs, and the no-API-key ease-of-use note. No redundancy or fluff.

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?

Given the simplicity of the tool (3 parameters, no output schema) and lack of annotations, the description is fairly complete. It identifies the data source and key output types. However, it would benefit from a note about when to use this over similar data sources (e.g., ERA5 weather) and any geographical limitations.

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%, so the baseline is 3. The description does not add parameter-specific information beyond the schema; it mentions outputs like 'monthly kWh/m2' and 'optimal angle' but does not explain how they relate to the lat/lon/year inputs. The schema already handles parameter semantics adequately.

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 resource (PVGIS) and the outputs (solar irradiance, PV yield, monthly kWh/m2, optimal angle, annual yield), which differentiates it from sibling tools. It lacks an explicit imperative verb, but the tool name 'get_solar_irradiance' and the accompanying noun phrase 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 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 versus alternatives. No mention of alternatives, exclusions, or use-case context. The only practical note is 'No API key', which hints at ease of use but does not guide tool selection.

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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