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

Annotations already mark the tool read-only and non-destructive. The description adds valuable context beyond those annotations: account entitlement is required, and the response contents are specified (forecast sources, uncertainty bands, realized values, verification). It does not contradict the annotations, though it stops short of describing units, timezone, or granularity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences carry meaningful content: the first catalogs the output, and the second notes the entitlement requirement. It is compact and front-loaded, though the first sentence is somewhat dense.

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

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

With no output schema present, the description does a good job of describing response contents and the access requirement. It does not state temporal resolution, units, or whether all listed components are always included, but for a simple three-parameter read-only tool these omissions are minor.

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

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

Schema coverage is 100%, so zone, from, and to are already documented in the schema. The description adds no parameter-specific nuance beyond implying the day-ahead context; the baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns day-ahead wind and solar generation forecasts and lists the included data: TSO forecast, Voltcast model with uncertainty bands, realized generation, and verification. This distinguishes it from siblings like get_prices or get_carbon, though it lacks an explicit verb and does not directly contrast with the similar-sounding get_forecast.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: an agent can infer to call this when renewable generation forecast data is needed. However, there is no explicit when-to-use or when-not-to-use guidance, nor any comparison with siblings such as get_forecast. The only concrete usage note is the entitlement prerequisite.

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