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List illustrative DigitalPublic use cases

dp_commercial_list_use_cases
Read-onlyIdempotent

List clearly labeled illustrative use cases without presenting them as customer results or performance claims.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataYes
errorYes
linksYes
versionYes
evidenceYes
nextActionYes

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already signal read-only and idempotent behavior, so the description does not need to restate that. It adds value by warning that the use cases are illustrative and must not be presented as actual customer outcomes or performance claims, which is meaningful behavioral context beyond the schema and annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence with no filler. The core action and the critical qualifier are front-loaded and every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple listing tool with an output schema, optional locale parameter, and safety annotations, the description covers the main behavioral caveat. The only real gap is explicit usage guidance, which is minor given how self-explanatory the tool is.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single optional locale parameter has no description in the schema, and the tool description does not mention it at all. The enum and default provide some semantic information, but with 0% schema description coverage, the description should have compensated and did not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the action (list), the resource (illustrative use cases), and the key caveat: they are illustrative, not customer results or performance claims. This distinguishes it from performance-claim or ROI-related sibling tools even without naming one directly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to choose this tool over siblings or when not to use it. The intended context is implied by the name and phrasing, but no alternatives or exclusion conditions are given.

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

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TDQS

A3.6/5.0
Disambiguation4/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness4/5

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.

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