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

Annotations already declare the safe read-only idempotent profile, so the description's remaining job is domain behavior. It adds real value here: coverage starting in 1960, preservation of missing years, and the explicit 'Not real-time' warning tell the agent what to expect from the data itself.

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?

A single front-loaded sentence with no filler; the key facts (count, provider, coverage, freshness) come first. The middle clause 'units, definitions via records, and latest collection status' is densely packed but still earns its place.

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?

With an output schema present, return values need not be described, and the description covers what is listed, temporal coverage, and freshness. It is essentially complete for a zero-parameter listing tool, with the only gap being sibling differentiation.

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 tool takes zero parameters, so the baseline of 4 applies. The description correctly adds no parameter detail because there is none to add, keeping focus on dataset characteristics.

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 verb ('List') and resource ('twenty-two annual World Bank historical series'), including scope details like the 1960 start. It differentiates somewhat by naming the World Bank provider, but never explicitly contrasts with siblings like list_economic_indicators or list_us_economic_indicators, so an agent still has to infer the boundary.

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?

There is no explicit when-to-use guidance or mention of alternatives. 'Not real-time' is a data-freshness caveat rather than a condition selecting this tool over its many sibling listing tools. The agent must guess when to reach for this versus get_historical_indicators or list_economic_indicators.

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