dp_commercial_get_checkout_readinessReport whether the real trial, self-service checkout, and Enterprise proposal onboarding are currently available.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| ok | Yes | ||
| data | Yes | ||
| error | Yes | ||
| links | Yes | ||
| version | Yes | ||
| evidence | Yes | ||
| nextAction | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint, so the safety profile is covered. The description adds useful behavioral context by specifying exactly which availability dimensions are reported—real trial, self-service checkout, and Enterprise proposal onboarding—which goes beyond the generic tool name.
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 a single front-loaded sentence with no filler. It names the action and the three scopes in compact, unambiguous language.
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 zero-parameter, read-only status tool with an output schema and annotations, the description is largely complete. It defines the exact query scope. It could be slightly stronger by pointing to sibling tools for deeper status detail, but nothing essential is missing.
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 tool has zero parameters and schema description coverage is 100%, so there is no parameter burden for the description to carry. The baseline of 4 applies since no parameter clarification is needed.
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 uses a specific verb ('Report whether') and identifies the exact resource: current availability of the real trial, self-service checkout, and Enterprise proposal onboarding. This clearly distinguishes it from vague status tools and gives the agent a precise sense of what the tool does.
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 implies the tool is for checking current availability/readiness across three named onboarding paths, but it does not explicitly say when to prefer it over siblings like dp_commercial_get_checkout_status or dp_commercial_get_live_trial_status. Usage context is clear enough, but alternatives and exclusion criteria are not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have a clear, distinct target, and overlapping trial/checkout/status tools are cross-referenced in their descriptions. A few pairs such as get_checkout_readiness versus get_checkout_status and legacy claim_credentials versus start_sandbox could still be misselected, but the descriptions generally resolve the boundaries.
All 28 tools share the dp_commercial_ prefix and follow a consistent snake_case verb_noun pattern such as get_, list_, start_, compare_, and request_. There is no mixing of camelCase, inconsistent verbs, or unpredictable naming.
At 28 tools, the server is above the 25-tool threshold and feels heavy even for a broad commercial platform. Several informational tools, such as checkout readiness versus checkout status and service status versus uptime history, could be consolidated without losing core capability.
The toolset covers the core commercial lifecycle well: discover needs, compare plans, assess fit, start trial/checkout, request proposals, check status, and review security/compliance profiles. Minor gaps exist around post-checkout subscription management or cancellation, but the described handoff to the DigitalPublic product covers most dead ends.