Store policies & contact
get_store_policiesShipping (free US), returns (free 30-day), warranty, resizing, payment, and contact details for Jewelry by Sweet Pea.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_store_policiesShipping (free US), returns (free 30-day), warranty, resizing, payment, and contact details for Jewelry by Sweet Pea.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description lists the categories of information (shipping, returns, warranty, etc.), which is adequate for a read-only information retrieval tool. It does not contradict annotations.
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 sentence that efficiently lists the key policy areas and the store name. No wasted words, front-loaded with the main topics.
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 no parameters and no output schema, the description adequately conveys what the tool returns. It does not specify output format (e.g., text vs. structured data), but for a simple policy listing, it is sufficient.
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?
There are no parameters, so the input schema is fully covered. With 0 parameters, baseline 4 is appropriate; the description adds no parameter info, which is unnecessary.
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 returns store policies including shipping, returns, warranty, etc. for 'Jewelry by Sweet Pea'. It distinguishes from siblings: get_product returns product details, search_products searches products, while this tool provides store policies.
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 usage context: when store policy details are needed. It does not explicitly state when not to use or name alternatives, but the sibling tools are sufficiently different, making the use case clear.
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, and store policies. No overlap or ambiguity.
All tool names follow a consistent verb_noun pattern (get_product, get_store_policies, search_products), making them predictable and easy to interpret.
3 tools is well-scoped for a product information server: search, detail, and policies. Each tool serves a necessary and distinct function without redundancy.
The tool surface covers core product discovery and policy lookup. Minor gaps exist, such as missing category or brand browsing, but the essential workflows are supported.