get_eu_day_ahead_prices

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

No annotations provided, but the description covers authentication token, return unit (EUR/MWh), and time horizon (next day). It adequately describes behavior for a simple 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.

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

The description is concise with three short sections: purpose, args, returns. No wasted words, and critical info (token requirement) is front-loaded.

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?

Given a single parameter, no output schema, and simple behavior, the description provides sufficient context: what it does, what param means, what it returns, and prerequisite (token).

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?

The sole parameter country_code is explained as EIC code with examples (DE, FR, etc.), adding meaning beyond the schema which only has type and default. Schema coverage is 0%, and the description fully compensates.

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 retrieves day-ahead electricity prices for EU countries, specifying the token requirement. It distinguishes from siblings like get_germany_wholesale_price and carbon intensity tools.

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?

The description explains the token requirement and provides example country codes. It implies usage for EU day-ahead prices vs alternatives, but lacks explicit when-not guidance.

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