get_energi_data

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

With no annotations, the description carries the full burden. It mentions 'No API key' as a behavioral trait, but does not disclose rate limits, data lag, return format, or integration requirements. Minimal behavioral context beyond authentication.

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 two succinct sentences. The first front-loads the purpose, and the second delivers a key practical note (no API key). Every word earns its place with no fluff.

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?

For a simple data retrieval tool, the description covers source and data types but omits any indication of output format or return structure. Since there is no output schema, the description could have provided more context, though the detailed schema parameter descriptions partially compensate.

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 descriptions cover all parameters with detailed enum explanations, so the baseline is 3. The description adds no parameter-specific details beyond listing the data types, which is redundant with the dataset enum descriptions.

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 identifies the tool as providing Danish electricity data from Energi Data Service, listing specific data categories (CO2 emissions, production, spot prices, balance). This distinguishes it from sibling tools by its Danish focus and the named source.

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 'Danish electricity' phrasing implies when to use the tool, and 'No API key' gives a practical prerequisite. However, it offers no explicit comparison to alternatives or exclusion criteria, so usage guidance is only implied.

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