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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false, and destructiveHint=false, so safety behavior is covered. The description adds useful context by naming data sources (Eurostat, ECB) and what each topic contains, but it does not discuss update frequency, data freshness, or geographic coverage details.

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 dense sentence that front-loads the scope and then enumerates the topic values efficiently. No words are wasted, and the structure matches the one-parameter lookup design.

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 low-complexity, one-parameter read-only tool with an output schema, the description covers all topic choices and data sources sufficiently for correct invocation. The main gap is the lack of sibling routing guidance, but the core contract is 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 0%, so the description carries the burden for the sole required 'topic' parameter. It does this well by defining all five enum values and their contents, including distinguishing 'overburden' and 'overcrowding' as housing conditions and naming the underlying sources.

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 states the scope ('Poland compared with EU countries') and lists five specific data topics with sources. It is easy to tell what the tool returns, but it does not explicitly differentiate itself from similar siblings such as compare_macro_indicators or get_housing_prices.

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 guidance on when to use this tool versus alternatives, and no exclusions or prerequisites are mentioned. The Poland-vs-EU scope implies usage, but with many similar sibling data tools the agent must infer when this is the right choice.

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