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

With no annotations, the description carries the burden and does disclose two real traits: there is no cost ("FREE") and the return is the last 3 periods plus percent change. It says nothing about failure behavior for an unrecognized name, whether values are seasonally adjusted by default, or units, which are the main behavioral unknowns for a data lookup.

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?

Two terse sentences, front-loaded with the cost signal and the core purpose, with the valid values and return window packed in without waste. Nothing is redundant.

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 one-parameter, no-output-schema lookup, the description covers purpose, valid inputs, cost, and return shape — enough to call it correctly. Only units and error behavior are absent, which are minor for this tool's complexity.

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% and the single `name` parameter is an unconstrained string with no enum, so the description's enumeration of valid values (cpi, cpi_sa, unemployment_rate, employment, gdp, new_housing_price_index, population) is essential compensation. It still does not state case sensitivity or whether values outside the list are accepted.

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?

States a specific resource (latest value of a Canadian indicator) and enumerates exactly which indicators are covered, so an agent knows the domain of the tool. It does not name or contrast with siblings dashboard or vector_series, which likely offer related series data, so differentiation is left implicit.

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?

"FREE" plus the short 3-period return window implies this is the lightweight choice for a quick snapshot, but the description never says when to prefer it over vector_series or dashboard, nor when not to use it. Usage must be inferred from the return-shape hint.

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