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?
No annotations provided. Description implies read-only but lacks details on side effects, pagination, rate limits, or ordering. Minimal behavioral disclosure beyond stating it returns matches.
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?
Three concise, front-loaded sentences. No filler. Purpose, returns, and filter options clearly stated in minimal space.
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?
Covers basic search function and filter, but lacks details on query syntax, result ordering, pagination, or default behavior. Output schema exists but its content is unknown; description does not address these gaps.
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 coverage is 0%. Description lists possible values for category parameter (compute, api_access, etc.), adding value beyond schema. However, it does not describe the query parameter meaning or format, leaving it ambiguous.
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?
Clearly states verb 'Search' and resource 'TitanStore product catalog'. Lists specific return types (compute credits, API keys, etc.) and filter options, distinguishing it from siblings like get_product (single product) 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?
Implies usage for querying the catalog, but no explicit guidance on when to use alternatives like get_product or add_to_cart. Does not mention when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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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.