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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, non-open-world), so the bar is lower. The description adds genuinely useful context beyond them: the data is licensed CC BY 4.0 and includes citation URLs, and the call takes no input. It does not mention caching or freshness guarantees, which is a minor gap.

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 English sentence is front-loaded and information-dense, but the Danish sentence repeats essentially the same content, roughly doubling the length for a bilingual audience. Defensible for a Danish-market server, but it is redundancy rather than added information.

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 and no parameters, the description carries the burden of telling the agent what comes back, and it does so (edition, date, licence, page and data-file URLs). That makes the definition sufficient to call the tool confidently, though it could say more about data currency or scope.

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?

Zero parameters, so the baseline is 4. The description explicitly confirms 'Ingen input' / no arguments needed, matching the empty schema with additionalProperties false, so the agent's invocation is unambiguous.

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?

States a specific verb and resource: fetch the current Gulvbuddy price index for wood floors in Denmark. It also names the payload (edition, date, source URLs), so an agent knows exactly what it gets. It does not, however, differentiate itself from close siblings such as forklar_prisen, leaving that distinction to inference.

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?

There is no when-to-use statement, no exclusions, and no mention of the sibling tools that overlap with it (forklar_prisen for explanations, ydelser for services). The presence of 'Ingen input' tells the agent how to call it but not when it is the right choice versus alternatives.

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