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

With annotations empty, the description carries the whole behavioral burden, yet it discloses nothing about return shape, pagination behavior (the per_page cap of 50 is only in schema), or rate/auth constraints. The '1400+ series' figure adds useful breadth context, but nothing about what a call returns or how results are ordered.

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 compact sentence that front-loads the resource and scope with zero filler. It is a sentence fragment rather than a full statement of intent, but nothing is wasted.

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?

Four parameters, no annotations and no output schema mean the description should explain the response format and pagination semantics; it does neither. An agent knows what data domain this covers but not what a call yields or how to page through 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?

Schema coverage is 100%, so all four parameters are documented with formats and examples (ISO codes, NY.GDP.MKTP.CD, 2020:2024). The description adds conceptual meaning to the 'indicator' parameter by illustrating typical series and signaling scale (1400+ series), which is the correct baseline-3 level of added value.

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?

Names the specific resource (World Bank macro indicators) and its scope (by country, 1400+ series), with example series like GDP, population and inflation. It does not distinguish itself from macro-data siblings such as fred_series, economic_indicators, national_debt or trade_flows, so an agent cannot tell from the description alone which of these to pick.

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 when-to-use guidance, no exclusions, and no mention of the alternative macro tools in the sibling list. The only usage signal is implicit — that this is a country-level indicator fetch.

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