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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds useful behavioral context beyond those annotations: it identifies the source as World Bank Open Data, states the cost ($0.008 per call), and specifies the GET endpoint, reinforcing that this is a read-only, paid HTTP lookup. No contradiction or omitted major behavioral trait is apparent.

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 remarkably compact: one purpose statement, a source attribution, pricing, and the HTTP endpoint. Every segment earns its place, and the central purpose is front-loaded before supporting details. There is no redundant or filler language.

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 two-parameter, read-only tool with robust annotations and full schema coverage, the description is largely complete. It states the source, examples, cost, and endpoint. It does not describe the exact response format or time-series structure, but 'time series' plus the indicator code context provides enough for an agent to select and invoke the tool correctly.

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 input schema already provides full documentation for both parameters (country and indicator), including formats and examples. The description adds no parameter-level information, so it does not meaningfully extend the schema. Baseline 3 is appropriate because the schema covers 100% of parameter meaning.

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 as World Bank economic indicator time series for a country, with concrete examples (GDP, unemployment) and the source (World Bank Open Data). It is more informative than the generic title 'Economic indicator', though it does not explicitly differentiate itself from related siblings like v1_inflation or v1_country.

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?

Usage context is implied rather than stated: the description indicates this tool serves World Bank indicator time series for a country, so an agent can infer when to use it. However, it offers no explicit guidance about alternatives, such as v1_inflation for inflation-specific data, or conditions that would make this tool the right choice over a sibling.

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