Confirm payment using a payment_token from checkout and a cc_token (credit card token). Completes the TitanStore purchase and returns an order confirmation.
| Name | Required | Description | Default |
|---|---|---|---|
| cc_token | Yes | ||
| payment_token | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description states the main effect (completes purchase and returns order confirmation) but lacks details on side effects (e.g., irreversible charge), error conditions, idempotency, or rate limits. Since no annotations are provided, the description carries the full burden, which is only partially met.
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 two sentences long (20 words), front-loaded with the key action, and contains no redundant information. Every word earns its place.
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?
Given the tool's simplicity (2 required params, no nested objects) and the presence of an output schema (which likely details the return value), the description covers the essential purpose and output. It could mention idempotency or error scenarios for completeness, but it is largely adequate.
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?
With 0% schema description coverage, the description adds meaningful context by explaining that payment_token comes from checkout and cc_token is a credit card token. It does not provide format or constraints, but the added context significantly improves understanding.
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 clearly states the verb 'confirm payment', specifies the resource (payment using tokens from checkout), and indicates it completes a purchase and returns an order confirmation. It distinguishes itself from siblings like 'checkout' and 'add_to_cart'.
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 implies the tool should be used after obtaining payment_token and cc_token from checkout, but it does not explicitly provide when-to-use or when-not-to-use guidance, nor does it mention alternatives.
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.
Each tool has a clearly distinct purpose: product search, product detail retrieval, cart addition, checkout initiation, and payment confirmation. No two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., add_to_cart, get_product, search_products). No mixing of conventions or ambiguous verbs.
With 5 tools, the set is well-scoped for a simple e-commerce flow. Each tool earns its place, covering product discovery, cart management, and checkout without unnecessary bloat or gaps.
The core purchase workflow is complete: search, get product, add to cart, checkout, confirm payment. Minor gaps include lack of cart viewing or removal, but the essential path is covered.