get_current_price

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

With no annotations, the description carries full burden. It clearly discloses critical behavioral traits: prices are raw spot prices (ex Danish taxes, tariffs, transport costs) and are higher for consumers. It also notes default area behavior including env var. However, it does not mention potential failure modes if no data for current hour.

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 sentences with an important caveat. It is front-loaded and every sentence adds value. No wasted words.

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 no output schema, the description does not detail the return format (e.g., number or object). It states unit (DKK/kWh) and time context, but an agent may need to infer the exact structure. For a low-complexity tool, this is acceptable but leaves room for ambiguity.

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% for the single parameter 'area', but the description adds meaningful context beyond the schema by mentioning the DEFAULT_PRICE_AREA env var and default value logic. This helps the agent understand parameter behavior without relying entirely on schema documentation.

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 verb 'Fetch', the resource 'electricity spot price', and specific context: current hour, DKK/kWh, Europe/Copenhagen. It differentiates from siblings (get_cheapest_hours, get_prices, get_price_summary) by focusing on the current hour spot price.

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 usage for current spot price but provides no explicit guidance on when to use this tool versus alternatives like get_cheapest_hours or get_prices. There is no mention of when not to use it.

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