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

With annotations already marking non-read-only and non-destructive behavior, the description adds useful side-effect context: it independently verifies Polar payment and can execute paid research. It does not detail costs or the full external-call behavior, but 'bounded' plus the idempotent and destructive hints cover the main risk profile.

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 dense sentence and every phrase contributes—it front-loads the primary read action and packs the payment verification and research trigger into the rest. It is not bloated, though the layered clauses could be easier to parse if split into two sentences.

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 one-parameter tool with no output schema, the description still leaves gaps: it does not explain what the returned status looks like, where the case_token comes from, or how this tool fits into the offer/checkout flow. The authorization condition helps, but an agent could not confidently predict the response or the full workflow.

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 schema has one required parameter with 0% description coverage, so the description should compensate. It references a 'machine-commerce token' that is likely the case_token and clarifies its authorization role, but it never explicitly binds it to the parameter or explains its origin or format.

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 names concrete actions—read the case state, verify Polar payment, run bounded paid research—so it is not a tautology. It is clear about the resource, but it never explicitly contrasts with siblings get_capital_fit_offer and prepare_capital_fit_checkout, so it does not earn a 5.

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 conditional clause gives a clear precondition: run the paid research only when the machine-commerce token and verified payment authorize it. However, it does not say when to prefer this status/payment tool over the offer or checkout siblings, or when not to call it.

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