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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false), so the bar is lower. The description nonetheless adds a genuinely useful epistemic caveat that no structured field carries: the score bands have no proven shutdown-onset timing skill. That is exactly the kind of context an agent needs to avoid over-claiming predictive power.

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?

Two sentences, front-loaded with what is returned before the caveat. Every clause carries information; nothing is filler or restated from the name.

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?

With no params, no output schema, and read-only annotations, the description supplies the essentials: the population, the sort key, the columns, and a critical limitation. It could still mention sorting direction or the score's scale, but it is adequate for this simple enumeration 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?

The tool takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to clarify beyond the implicit no-argument, global-scope behavior.

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?

States a specific resource ('All scored countries') and ordering ('sorted by experimental model score') plus the payload contents (bands, as-of dates). It does not explicitly distinguish itself from close siblings such as get_shutdown_risk or get_high_risk_countries, so it lands at 4 rather than 5.

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 mention of the sibling tools it overlaps with (get_shutdown_risk, get_high_risk_countries, get_shutdown_risk_accountability), and no stated exclusions. Usage must be inferred entirely from the ranking semantics.

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