Search TitanStore product catalog. Returns matching compute credits, API keys, storage, GPU instances, and support plans. Filter by category: compute, api_access, storage, gpu, support.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| category | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but omits key behavioral details such as pagination, result limits, ordering, or read-only nature. The return types are listed, but operational traits are missing.
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 concise sentences with front-loaded purpose and efficient category listing, no fluff or redundancy.
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 simple search tool with an output schema, the description covers return types and filtering adequately. Lacks pagination/result details, but completeness is acceptable for the context.
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 description adds meaning by listing valid category values, which the schema does not provide (0% coverage). However, it does not explain the query parameter's format, required status, or behavior, leaving significant gaps.
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 tool searches the TitanStore product catalog, listing specific return types and filter options. It effectively distinguishes from sibling tools like add_to_cart and get_product by focusing on search functionality.
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 use for product discovery but does not explicitly contrast with get_product or provide when-not-to-use guidance. Usage context is inferred from sibling tools rather than stated.
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 distinct purpose in the purchase flow: searching products, getting details, adding to cart, checking out, and confirming payment. No overlap in functionality.
All tool names follow a clear verb_noun pattern in snake_case (e.g., add_to_cart, get_product). Even 'checkout' is a standard verb that fits the pattern.
Five tools cover the core e-commerce workflow without redundancy. The number is appropriate for the server's purpose of handling basic store operations.
The set covers the essential purchase lifecycle from search to payment confirmation. Minor gaps like cart modification or order history are absent but not critical for a basic store.