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

With no annotations and no output schema, the description carries the full burden of disclosing return content, and it does name the three categories returned (inputs, outputs, assumptions/tables), which is genuinely useful. It does not say whether the response is static documentation or computed from configuration, nor anything about size or format. Read-only nature is implied by the passive phrasing but never stated.

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?

A single tightly-packed sentence with no filler; the return content is front-loaded in the order an agent would want it (inputs, then outputs, then assumptions). The one blemish is that it is a verbless noun phrase, reading more like a table of contents than a definition, which costs a little immediate clarity.

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 zero-parameter, no-output-schema documentation tool, the description covers the main thing an agent needs: what comes back. Given no annotations exist, it could go slightly further (e.g., stating that it is read-only, non-mutating, and safe to call before `calculate`), but nothing essential for correct invocation is missing.

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?

The tool takes zero parameters, so the baseline is 4 per the rubric. The description appropriately spends no space on parameter explanation and instead describes the parameter domain of the sibling calculator, which is a sensible use of the sentence.

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 enumerates what the tool delivers: input specifications (units, ranges, defaults), output specifications, and underlying assumptions/tables. This is specific enough that an agent knows it is a documentation/metadata tool rather than a computation. However, it never states a verb (e.g., 'Returns...') and never names the sibling `calculate` as the counterpart, so the distinction is inferred rather than declared.

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 guidance on when to call this versus `calculate`, nor any workflow hint such as 'call this first to discover valid arguments for calculate'. The agent must infer the ordering itself. No exclusions or preconditions are stated.

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