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

No annotations are present, so the description carries the full behavioral burden. It discloses the data type (monthly/interannual CPI) and source (INDEC) and implies a read-only historical series, but does not mention response format, pagination, rate limits, or any side effects. For a simple retrieval tool, this is partial but not comprehensive.

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?

The description is a single, front-loaded sentence that immediately identifies the subject ('Inflación de Argentina') and packs the key attributes (IPC mensual e interanual, INDEC, serie histórica) with no filler or redundancy.

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 data retrieval tool, the description provides the essential details: topic, source, and temporal scope. It omits output structure, but without an output schema or expected usage complexity, the description is adequate for an agent to make a correct call.

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 schema has zero parameters, so the baseline is 4. The description adds no parameter semantics (there are none to explain), and there is no ambiguity since the schema is empty and coverage is 100%.

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 the resource (Argentine inflation data) and the specific content (monthly and year-over-year CPI from INDEC with historical series). It distinguishes from sibling tools like get_dolar and get_feriados by the topic, so an agent can unambiguously select it for inflation queries.

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 description provides no explicit guidance on when to use this tool versus alternatives. While the sibling tools cover different domains (currency, holidays, etc.), the description does not state context, prerequisites, or exclusions, leaving the agent to infer usage from the tool name and topic.

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