Store policies
get_policiesStore policies: shipping (US only, free), delivery times, 30-day returns, tax, payment, how to buy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_policiesStore policies: shipping (US only, free), delivery times, 30-day returns, tax, payment, how to buy.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety and scope profile is covered. The description adds the content inventory (what policies are returned), but says nothing about return format, currency/locale applicability, or freshness — though for a static read-only tool the bar is lower.
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?
A single front-loaded sentence that identifies the resource first and then the payload. It is dense and topic-list style rather than prose, but every element earns its place with no filler.
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?
For a zero-parameter, read-only lookup with no output schema, the description supplies the essential information: the resource and the set of policy topics returned. Only minor gaps remain (no indication of currency/region or update frequency).
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 tool takes zero parameters, so the baseline is 4. The schema is empty and nothing in the description is needed to compensate for parameter documentation.
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 names a specific resource (store policies) and enumerates the exact topics covered — shipping, delivery times, returns, tax, payment, how to buy — so an agent knows precisely what content comes back. It does not explicitly contrast with siblings, but the retrieval scope is unambiguous.
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?
There is no statement of when to call this versus other tools, nor any preconditions or exclusions. Usage must be inferred from the topic list; nothing tells the agent to prefer this over answering policy questions from general knowledge.
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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