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

With no annotations, the description carries the full burden. It adds useful behavioral context: data is free, source-cited, updated daily, and returns a value plus a 30-day rate. It also discloses method options. It stops short of explicitly stating read-only behavior or return format, but the retrieval nature is clear.

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 two sentences, front-loaded with the core value proposition, then method details, then a pointer to the sibling tool. No wasted words; every sentence adds essential information.

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?

Given no annotations and no output schema, the description covers purpose, data freshness, and the method argument. However, the 'category' parameter is unmentioned, and the output format is only vaguely implied by 'value + 30-day rate'. These gaps prevent full completeness for an agent.

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 description coverage is 0%, so the description must compensate. It explains the 'method' parameter's enum values, including default and recommended, but completely omits the 'category' parameter. This leaves a significant semantic gap for a parameter that exists in the schema.

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 states the tool returns the latest Argentina food & beverage price index value and a 30-day rate, updated daily with source citations. It also differentiates itself from the sibling get_ar_food_price_index by explicitly pointing to that tool for the full daily series.

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?

Provides explicit guidance to use get_ar_food_price_index for the full daily series, indicating when not to use this tool. It also explains the optional method parameter with default/recommended values, but doesn't mention get_ar_food_methods or when to use it.

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