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

Annotations already establish read-only, idempotent, closed-world, and non-destructive behavior. The description adds meaningful context beyond annotations: it is unmetered, returns live D1 counts, includes method notes, and explicitly does not invent completeness percentages or a brand_audit punch list.

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 compact and front-loads the core purpose before adding behavioral details. It is efficient overall, though terms like 'D1' and 'brand_audit punch list' are jargon that slightly reduce immediate clarity.

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 input parameters and no output schema, the description does a good job naming the returned count categories and method notes, and it states what the report avoids. It does not describe the response object's actual shape, which is a minor remaining gap.

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 has zero parameters, so there are no parameter semantics to explain. The baseline for a no-parameter tool is 4, and nothing in the description suggests hidden filters or arguments.

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 identifies a coverage/transparency report and enumerates the categories of counts it returns: census, identity, remote, protocol, adoption, and pipeline. It also clarifies the payload mirrors GET /v1/coverage. It does not explicitly distinguish itself from close siblings such as census_stats, so it stops short of a 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?

The phrase 'public transparency report' and the listed count categories imply when the tool is useful, but there is no explicit guidance on when to choose it over census_stats or other census siblings. No exclusions or alternatives are named.

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