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

Goes well beyond the readOnly/openWorld annotations by disclosing that block fractions and confirmed block counts are under review, return null, and come back with a review object plus a data date — a significant non-obvious caveat. It stops short of describing the rest of the response shape (how counts are aggregated, ordering, or the review object's fields), which matters since there is no output schema.

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 payload (coverage plus the under-review caveat) is correctly front-loaded, but the second sentence is a ~60-word run-on explaining internal provenance (CensoredPlanet rows, IODA outages, national blocklist layer, false positives in open countries) that is far longer than the agent needs to act correctly.

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 single-optional-parameter read tool with no output schema, the description covers what is returned, the default grouping, and the one anomalous return case. Only the broader response structure and aggregation semantics are left unspecified.

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% and the schema already documents the only parameter as "'continent' (default) or 'subregion'"; the description largely repeats that. Baseline 3 is appropriate since the schema does the work.

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 first sentence states a specific resource and scope: measurement coverage by world region, returning countries measured and measurement counts, with continent vs. UN sub-region granularity. A sibling get_censorship_by_category exists but is not named, so the agent must infer the split from the tool names alone.

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 implies when to change behavior ("UN sub-region with level=subregion") but never says when to prefer this tool over get_censorship_by_category, get_global_heatmap, or get_censorship_index. Usage is inferable from the resource name rather than stated.

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