preview_product
Read the free curated product preview.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| product | Yes |
Read the free curated product preview.
| Name | Required | Description | Default |
|---|---|---|---|
| product | Yes |
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 declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only 'free curated', which is minor context and does not meaningfully disclose return behavior, errors, or access requirements.
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 short sentence with no filler, and the main action verb is front-loaded. However, the brevity comes at the cost of useful detail, so it is concise but not fully informative.
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 one required parameter, no output schema, and no parameter documentation, the description is not complete enough for an agent to call the tool correctly. It does not say what the preview contains, what value to pass, or how this differs from list_products.
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?
Schema description coverage is 0% and the description never explains what the 'product' parameter should contain. There is no indication of whether product expects an ID, slug, name, or other identifier, leaving the only required parameter essentially undocumented.
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 a specific verb ('Read') and resource ('free curated product preview'), so an agent can tell this is a read-only preview operation. It does not explicitly distinguish itself from siblings like list_products or buy_product, but the semantic difference is clear enough.
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 provides no guidance on when to use this tool versus alternatives such as list_products or buy_product. It does not state exclusions, prerequisites, or any routing logic.
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.