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

The annotations already establish that this is a read-only, idempotent, non-destructive operation. The description adds useful behavioral context by stating that results are paginated and by defining the aggregate metrics, but it does not disclose authentication requirements, rate limits, or other operational constraints.

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 two short sentences with no waste. It front-loads the core aggregate definition and then notes pagination, making it efficient and easy to scan.

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?

Given 12 parameters, no output schema, and read-only annotations, the description does a good job explaining the returned aggregates and pagination. It remains somewhat incomplete because it does not route the agent among the many source-URL analytics siblings or explain the paginated response shape in more detail.

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 schema has 100% parameter description coverage, so the baseline expectation is a 3. The description mentions the analytics window and pagination, but adds no syntax, default, or filtering semantics beyond what the schema already documents for all 12 parameters.

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 states that the tool returns per-URL citation aggregates, specifically the percentage of analyzed responses citing each URL and the average citation count per response. This is a specific verb/resource description, but it does not distinguish this tool from close siblings such as get-source-url-usage-time-series-tool or list-source-url-prompt-analytics-tool.

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 description gives no explicit guidance on when to use this tool versus alternatives, nor does it state prerequisites or exclusions. It only implies that the tool is for aggregate, paginated per-URL analytics rather than time-series or prompt-level breakdowns.

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