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

Beyond the annotations (readOnlyHint: true), the description adds critical operational transparency regarding failures. Specifically, it states that missing values or connection failures will not be marked as completed, guiding the agent on interpreting the eventual state.

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 dense, but every sentence is highly functional. It successfully front-loads the output format and the tool's core function before detailing constraints and disclaimers, making it very efficient despite its length.

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 the complexity of running external tasks and the lack of an output schema, the description is highly complete. It details the specific structure of the return data and specifies crucial failure modes (incomplete task handling), allowing the agent to call and correctly interpret the results.

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?

Although schema coverage is 100%, the description adds critical functional meaning to the enum options. It clarifies the intended use of `taskId` by listing specific parameter requirements for each task, such as the country constraints for 'gdp-growth'.

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 defines the tool's function: reading data from official sources and returning structured data (JSON) containing metrics, dates, and calculation methods. It explicitly enumerates the available tasks (us-cpi, exchange-rates, gdp-growth), clearly distinguishing the tool's scope.

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?

It provides strong constraints and warnings, such as only supporting 'latest available data' and explicitly warning against confusing different rate types (annual/monthly, reference/real-time). It also sets boundaries by stating it is not a general web browser or payment system.

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