EU Population (1 Jan)

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering safety. The description adds that data is annual on 1 January, but no further behavioral details (e.g., error handling, data lag). With rich annotations, the description adds modest context.

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 a single sentence, front-loaded with key information. It is compact and efficient, though could optionally include more detail. No wasted words.

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 annotations, input schema, and output schema (not shown but present), the description suffices for a simple lookup tool. It covers the essential: what, where, data source. Could mention that only one country per call, but that's in the description. Overall fairly complete.

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 description coverage is 100%, so parameters are already well-documented. The description reinforces that population is annual and for one country, but adds no new semantic details beyond the schema. Baseline score of 3 is appropriate.

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 specifies the action ('annual population'), resource ('one EU country'), and data source (Eurostat dataset demo_gend). This clearly distinguishes it from sibling tools like finance.eurostat.gdp_growth or finance.eurostat.inflation.

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?

The description does not explicitly state when to use this tool versus alternatives. It implies usage for EU population queries, but lacks scenario guidance or exclusion criteria. Siblings exist for other indicators, so agents must infer.

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