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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds only that the data is 'real-time' and that entries are anonymized; it says nothing about aggregation windows, freshness lag, pagination, or response shape.

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?

A single front-loaded sentence with a colon-delimited metric list; nothing is wasted or repeated. It is dense but readable, with the core purpose stated before the enumeration.

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 read-only, zero-required-parameter analytics tool with no output schema, the enumerated metric list effectively doubles as a return-value summary, and annotations cover the safety profile. Only minor gaps remain around freshness/aggregation semantics.

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 description coverage is 100% and the single parameter limit_recent is fully documented in the schema, so the baseline of 3 applies. The description does not reference limit_recent or explain how it interacts with the 'recent activity' metric it lists.

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 pairs a specific verb ('Retrieve') with the resource ('waitlist analytics') and then enumerates the exact metrics returned: total signups, referral attribution channels, geographic demand by city/state, email consent rates, and recent activity. This clearly separates it from the write-side sibling join_waitlist and from the unrelated roll-analytics family.

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?

There is no explicit when-to-use guidance, no stated preconditions, and no named alternative or exclusion. An agent can infer this is the read/summary counterpart to join_waitlist, but the description never says so.

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