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

No annotations are provided, so the description carries the burden. It discloses the data source (Nord Pool), the unit (öre/kWh), and the output highlights (cheapest/most expensive and difference). However, it does not mention whether the data is cached, how fresh 'dagsfärskt' is, or whether the tool makes an external network call. It also doesn't describe the full return structure beyond the highlights.

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 a single, compact sentence that front-loads the core purpose (fresh Swedish electricity price), then adds the source, unit, and output highlights. Every word earns its place; no filler or repetition.

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 read-only tool with one optional parameter and no output schema, the description covers the essential information: what it returns, in what unit, and how the parameter affects the result. It could be more complete by stating the return format (e.g., a list or object) and data freshness, but given the tool's simplicity, the description is largely sufficient.

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%: the only parameter 'area' is fully described with an enum and an explanation that omitting it returns all four areas. The description adds the context that the areas are SE1–SE4 and that the result is in öre/kWh, which complements the schema. Since the schema already covers the parameter well, a baseline of 3 applies, and the description's added context about the optional behavior earns a 4.

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's function: it provides fresh Swedish spot electricity prices per area SE1–SE4 from Nord Pool, in öre/kWh, and shows the cheapest/most expensive area and the difference. This is a specific verb+resource with clear scope, and it distinguishes itself from the sibling tools (which are about product categories, loans, and comparisons) by naming the exact data source and units.

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 implies when to use this tool: when the user asks for current Swedish electricity prices by area. It also explains the optional area parameter behavior ('Utelämna för alla fyra' – omit for all four). However, it does not explicitly state when not to use it or mention alternatives among the siblings, though the siblings are clearly unrelated in domain.

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