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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds the underlying endpoint mapping (GET /{account}/campaigns/analytics) and names the aggregated metrics, but says nothing about the aggregation window (lifetime vs. some implicit period), which materially affects interpretation of the numbers.

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 compact sentences, with the resource scope front-loaded and the endpoint reference as supporting detail. No filler.

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-parameter read-only aggregation tool with no output schema, listing the metrics returned and the account scope is largely sufficient. The one real omission is the time window over which the aggregation applies.

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?

Only one parameter and schema coverage is 100%, so the schema already explains that 'account' is the account slug sourced from textus_list_accounts. The description adds no parameter-level meaning beyond that, which is the expected baseline when the schema fully documents the input.

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 verb and resource ('Get aggregated statistics') and enumerates the metrics returned (campaigns sent, recipients, delivery) scoped to 'all campaigns of an account'. This distinguishes it implicitly from textus_list_campaigns and textus_get_campaign, though it never names those siblings.

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 scope ('for all campaigns of an account') implies when to use it — account-wide rollup rather than per-campaign detail — but there is no explicit when/when-not guidance or named alternative for single-campaign stats vs. the conversation stats tool.

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