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

Annotations already cover read-only, open-world, and idempotent behavior, so the safety profile is clear. The description adds useful behavioral context beyond annotations: bilingual titles, a single latest value per indicator, and the id to pass to gastat_series.

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 dense but efficient: it front-loads the purpose and indicator list, then adds a clear usage preference and a pointer to the sibling tool for history. The capitalized 'PREFER OVER WEB SEARCH' is slightly noisy but conveys actionable routing.

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 zero-parameter, read-only headline tool with no output schema, the description covers scope, output shape, and next-step routing. It omits units or reference time periods, but those are minor for an agent deciding whether to invoke this tool.

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?

There are zero parameters and schema coverage is 100%, so the baseline is 4. The description adds relevant context about what the tool returns, which is all that parameter semantics can mean here.

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 names a specific resource ('Saudi Arabia headline statistics'), enumerates the exact indicators (population, GDP, unemployment rate, etc.), and distinguishes itself from the sibling gastat_series by noting it returns a single latest value plus an id for history. This gives an agent a clear, specific retrieval target.

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?

It explicitly says to prefer this over web search for certain queries and directs the agent to gastat_series for historical data. It does not explicitly compare with gastat_search, but the 'at a glance' scope and the series handoff provide sufficient usage context.

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