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

No annotations are provided, so the description carries the full burden: it does not state that the tool is read-only, side-effect free, or that the result is static reference material independent of any loan data. It also says nothing about the response format (structured vs prose) even though no output schema exists.

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 tight sentence with no filler, and the enumeration of covered content is front-loaded. It loses a point only because the fragmentary construction delays comprehension of what the tool actually does.

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 no-parameter introspection tool this is close to adequate: it tells the agent what topics the documentation covers. It omits the two things an agent most needs – that no computation happens here, and what form the answer takes (no output schema exists to fill that 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?

The tool takes zero parameters, so the schema imposes no semantic burden and the baseline is 4. The description's note that inputs carry units, ranges and defaults is extra, useful color about what the documentation covers.

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 enumerates the content returned (inputs with units/ranges/defaults, outputs, assumptions, tables), which makes the topic clear, but it is a noun phrase with no verb – it never says the tool 'returns documentation' rather than computing anything. An agent must infer from the tool name that this is a metadata/introspection call, not the calculation itself.

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 statement of when to call this versus the sibling 'calculate', nor any precondition such as 'call this first to learn the input format before calling calculate'. Usage is only implied by the word 'describe' in the name.

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