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

With no annotations, the description carries the burden of behavioral disclosure. It adds useful context: the quotes are 'now' (current) and include a 30-day historical series, plus compra/venta buy/sell values. However, it does not disclose data source, update frequency, response structure, or any limits. This is acceptable for a simple read tool, but not richly transparent.

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, dense sentence that front-loads the core purpose ('Cotizaciones del dólar en Argentina ahora') and then packs all relevant variants into a parenthetical list. Every clause earns its place, with 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 zero-parameter, read-only quote tool with no output schema and no annotations, this description covers the essential semantics: rate types, buy/sell, and 30-day series. It does not describe the exact JSON shape or update frequency, but those are secondary given the tool's simplicity. Slightly more detail on the response format would make it complete.

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 has zero parameters, so the description has no obligation to explain inputs. The baseline of 4 applies. The description instead tells the agent what data variants to expect, which is more valuable than parameter documentation for a parameteless endpoint.

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 identifies a specific resource — Argentine dollar exchange rates — and enumerates the exact quote types covered (blue, oficial, MEP, CCL, tarjeta, cripto) plus buy/sell and 30-day series. This fully distinguishes it from sibling tools like get_feriados or get_inflacion, which deal with unrelated domains.

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 context is unmistakable: use this tool when you need current Argentine dollar quotes across specific rate types. It does not explicitly state when not to use it, but the sibling tools are in clearly different domains, so no exclusion is strictly necessary. Lacks an explicit pointer to alternatives, but not needed here.

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