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

Annotations already establish that this is a safe, read-only, idempotent, non-destructive operation. The description adds useful behavioral context by disclosing that the tool reports coverage counts, refresh recency, publication credits, and what is not included, which helps the agent understand the limitations of the data.

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 definition is compact and front-loaded: it first states what the server holds, then gives the operational use case. Both sentences carry useful information without redundant wording.

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, no-output-schema informational tool, the description is complete enough to tell an agent what coverage details are available and why to call it. It covers counts, date ranges, refresh status, credit information, exclusions, and the main use case.

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 clarify beyond the baseline. The description does not need to explain parameter meanings, and the empty schema is consistent with a no-argument informational tool.

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 meta-resource: server coverage, per-publication counts, date ranges, refresh timestamps, credits, and exclusions. An agent can distinguish this from sibling tools like search, list_items, fetch, latest, and edition getters because it is explicitly about scope rather than retrieving content.

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 gives clear usage conditions: questions about scope, or checking coverage before interpreting an empty search as missing data. It does not explicitly name alternative tools or when not to use it, but the intended context is clear from the description.

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