Siste tall fra en tabell

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

No annotations are present, so the description carries the burden. It discloses that omitted dimensions are summed, required dimensions get their first value, and the returned `fastsatteDimensjoner` field reveals what was measured. This is substantive, though it does not address errors, limits, or response structure.

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?

Four concise sentences, front-loaded with the shortcut purpose, then behavior, then routing. No redundant or filler wording; every sentence earns its place.

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?

The description is enough to select and invoke the tool: it identifies the table context, parameters, behavior, and the response signal. It lacks a concrete example or output shape, but for a simple shortcut with no output schema this is a minor gap.

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?

With schema coverage at 33%, the description compensates by explaining `periods` as the last N periods and `contents` as the first statistical variable unless another code is given. `tableId` remains implicit but is inferable from the title and the required field's purpose.

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 states a clear purpose: a shortcut for the current number from a table, selecting the first statistical variable and the latest N periods. It explicitly contrasts with the table and data siblings, making the tool's scope identifiable.

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?

It gives explicit usage context: use this when you want the current figure, and if you need anything else, use `table` and `data`. This directly names alternatives and conditions, leaving little to inference.

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