EU Monthly Unemployment Rate

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds that data is seasonally adjusted and for total population, and mentions the dataset license. It does not contradict annotations. Additional context is useful but not extensive.

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?

Single sentence, concise, front-loaded with key information. Every part adds value: what is measured, scale, seasonality, scope, dataset name, license. No redundancy.

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 output schema exists and annotations cover behavioral traits, the description is complete for a simple data retrieval tool. It explains the indicator and scope. Minor gap: not explicitly stating that only monthly frequency is available, but it is implied by 'monthly unemployment rate'.

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 baseline is 3. The description adds no additional meaning beyond what the schema already provides (e.g., geo code examples, aggregates). The description's mention of 'one country per call' is implicit in schema description.

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?

Description clearly specifies the tool returns monthly unemployment rate (% of active population, seasonally adjusted, total population) for one EU country or aggregate, and names the Eurostat dataset. It distinguishes itself from sibling eurostat tools (gdp_growth, inflation, population) by focusing on a specific indicator.

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 implies the tool is for EU unemployment data but does not explicitly state when to use it versus alternatives. No mention of when not to use or context relative to other eurostat tools. Adequate for understanding basic purpose.

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