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 usefully discloses the data source (INDEC via BCRA) and that both monthly and interannual figures are returned, but says nothing about the response shape, latency, or coverage limits beyond the parameter default.

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 front-loaded sentence naming the resource, source, granularity, and parameter default with zero waste.

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 simple read-only data fetch with one optional parameter and no output schema, the description covers what data is returned, its source, and the range control. It could note the return format, but there is little else an agent needs to call it.

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 0%, so the description must compensate. It explains the single parameter as 'últimos N meses (default 12)', clarifying its meaning, though the default is also in the schema and it omits the 1–60 bounds defined there.

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?

Names a specific resource (IPC monthly and interannual inflation) and its source (INDEC via BCRA), which is concrete. It differentiates reasonably from siblings like ar_cer and ar_uva (inflation-linked units rather than the inflation rate itself), though it does not explicitly say so.

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 when-to-use guidance, no mention of alternatives, and no conditions or exclusions. The default 12 months is stated, but nothing tells the agent when this tool is the right choice versus ar_cer, ar_uva, or ar_tasas.

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