list_payment_methods
Read public payment-method availability.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read public payment-method availability.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the safety profile: readOnlyHint, idempotentHint, and destructiveHint are all provided. The description adds 'public' and 'availability', which usefully imply no authentication and possibly dynamic state, but it does not disclose return behavior or any operational characteristics beyond what annotations already establish. No contradiction exists.
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. Every word adds meaning: 'Read' signals the operation, 'public' signals access scope, and 'payment-method availability' signals the resource.
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 tool with rich annotations, the description is largely complete. The main gap is that there is no output schema and the description doesn't specify the return shape, but the tool name and 'availability' strongly imply a list of payment methods with availability status.
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 the schema coverage is 100%, so the schema leaves nothing undocumented. The description doesn't need to explain parameter meaning; the baseline for a zero-parameter tool is met.
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 states a clear action ('Read') and a specific resource ('public payment-method availability'), which distinguishes it from siblings like buy_product, list_products, and preview_product. The resource is concrete enough for an agent to understand what the tool does without opening the schema.
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 gives no guidance on when to use this tool versus the sibling tools. It doesn't mention that this should be checked before buy_product, nor does it rule out list_products or preview_product as alternatives. The agent must infer usage from the tool name alone.
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.
The tools are mostly distinct: list_products and preview_product both read product information but are differentiated by catalog search versus curated preview. buy_product could be mistaken for an actual purchase action, but the description clarifies it only returns purchase directions, and list_payment_methods is clearly separate.
All tool names follow a consistent verb_noun snake_case pattern: buy_product, list_payment_methods, list_products, preview_product. The naming is uniform and predictable, even though buy_product's semantics are somewhat misleading.
Four tools is a reasonable count for a narrow tollbooth/payment-oriented server. Each tool has a distinct surface area, though the set is minimal and leans heavily toward read-only operations.
The set covers catalog browsing and payment-method listing, but the only purchase-related tool explicitly never creates an invoice, checkout, or payment. This leaves the core transaction flow incomplete—there is no way to actually complete a purchase or trigger payment, which is likely a significant gap.