Retrieve full details for a TitanStore product by SKU. Example SKUs: TS-001, TS-002, TS-003, TS-004, TS-005.
| Name | Required | Description | Default |
|---|---|---|---|
| sku | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description says 'Retrieve full details' but does not disclose read-only nature, auth requirements, or what 'full details' entails beyond what output schema provides.
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 sentences, first states purpose, second provides examples. No extraneous content, front-loaded.
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?
Simple tool with output schema; description covers core functionality and examples. Lacks mention of error cases or data freshness, but adequate for basic retrieval.
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%, so description must compensate. It adds meaning with examples (TS-001, etc.) clarifying the SKU format, though does not specify constraints like pattern or length.
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 the action ('Retrieve full details') and resource ('a TitanStore product'), distinguishes from siblings like search_products by specifying retrieval by SKU.
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 when a specific SKU is known, but does not explicitly contrast with search_products or provide when-not-to-use guidance.
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.