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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive). The description adds genuinely extra context: the prediction methodology (historical cadence averages) and that results carry overdue flags, which matters for interpreting the output. It stops short of explaining uncertainty, coverage, or empty-result behavior.

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 tight sentences with no filler; the scope (per flagship family) and the calculation basis are front-loaded. Every clause carries information.

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 annotations covering safety, an output schema covering the return shape, and a fully documented parameter, the description supplies enough for correct invocation and interpretation of the forecast basis. Minor gap: no statement of what happens when 'family' is omitted or what an overdue flag signifies.

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 single 'family' parameter has 100% schema description coverage, including the full enumerated value list, so the schema carries the burden. The description adds nothing about the parameter, such as whether omitting it returns all families, so the baseline 3 applies.

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: predicted next-release windows per flagship family, with the derivation basis (average historical release cadence). An agent can distinguish this from get_releases (past data), but the description never names or contrasts the siblings it most overlaps with, notably get_rumors (upcoming-product speculation).

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?

Usage is implied: read-only, derived forecasts about future releases. The phrase 'computed from average historical release cadence' indirectly signals this is data-driven rather than rumor-based, but there is no explicit when-to-use/when-not guidance and no direction to get_rumors or get_releases for the alternative question.

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