get_payment_options
Read configured Stripe checkout links and availability. Does not charge money or confirm payment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read configured Stripe checkout links and availability. Does not charge money or confirm payment.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, and non-destructive behavior, so the description's main added value is the explicit 'does not charge money or confirm payment' caveat, which tells the agent this is purely observational despite touching Stripe. It stops short of describing failure modes or the shape of a returned link.
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 short, front-loaded sentences with zero filler: the first states what is read, the second removes the most likely misconception. Nothing is wasted.
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 no parameters, no output schema, and full annotation coverage, the description is nearly sufficient for correct invocation. It identifies the returned content at a high level, though it could say more about what 'availability' means or what happens when nothing is configured.
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 takes zero parameters, which is the baseline-4 case per the rubric. There are no arguments whose semantics need explaining, and the description correctly implies no input is required.
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 gives a specific verb ('Read') and a concrete resource ('configured Stripe checkout links and availability'), so an agent knows exactly what it returns. It doesn't explicitly contrast with any sibling, but none of the siblings (messaging, booking, identity tools) are close enough to require disambiguation.
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 negative framing ('Does not charge money or confirm payment') implies the safe informational context for calling it, but it never states a positive trigger such as 'use before presenting a payment link to a user'. There is no named alternative to route against, so usage is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.