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

With no annotations, the description carries the full disclosure burden. It contributes one substantive behavioral insight — the tool sources truth from the Stripe webhook-created order record and deliberately ignores browser redirect state — which is genuinely useful. However, it does not disclose whether the call is read-only, what happens when no order record exists yet, whether there is eventual-consistency lag after the webhook fires, or what the return value looks like.

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 core purpose is front-loaded ('Whether the customer has paid yet') and the authoritative-source caveat follows immediately. Every clause earns its place, making this an excellent example of economical, well-ordered prose.

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 simple 1-parameter tool this is close to adequate, but significant gaps remain: the return shape is undisclosed (boolean? status string? null?), edge behavior when the webhook order record is absent is not covered, and job_handle is underdescribed. Additionally, no disambiguation from hip_get_order, which may expose related payment data, is provided — though the tool's low complexity keeps the damage contained.

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 0% and the description never mentions job_handle — no format, provenance, or example is given. The sole parameter's name is fairly self-explanatory within the tool family as a job identifier, which softens the gap, but the description adds zero parameter-level meaning and does not compensate for the empty schema as required by the low-coverage baseline.

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 answers a concrete question — 'Whether the customer has paid yet' — identifying the resource as checkout/payment status and giving it a specific semantic tied to Stripe's webhook order record. It avoids tautology and conveys real meaning, but it lacks an explicit verb like 'gets' or 'returns' and never names a sibling, so differentiation is implicit rather than explicit.

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 provides a useful context signal: payment truth comes from the order record Stripe's webhook creates, never from a browser redirect. This tells an agent where authoritative payment state lives and implicitly warns against trusting redirect-based signals, but no sibling tool is named and no explicit when-to-use vs. when-not-to-use condition is stated — usage must be inferred.

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