List Brands
list_brandsList all remembered brands, optionally filtered by category.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | Optional category filter. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_brandsList all remembered brands, optionally filtered by category.
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | Optional category filter. |
| 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?
With no annotations provided, the description carries the full burden of behavioral disclosure. The verb 'List' inherently implies a read-only operation, and 'all remembered brands' indicates the scope. However, it does not disclose potential pagination, ordering, side effects, or authorization requirements, which a fully transparent description might include.
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, efficient sentence with no filler. It front-loads the verb and resource, then states the optional filter. Every word contributes to the meaning.
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?
The tool is simple, with one optional parameter and an output schema available, so the description does not need to explain return values. However, it lacks any mention of valid category values or differentiation from sibling tools, leaving the agent to guess context for list_brands versus recall or remember.
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 description coverage is 100%, and the description's mention of the optional category filter adds no information beyond the schema's 'Optional category filter.' The parameter's meaning is already fully documented, so the description does not compensate for any gap or add new semantic nuance.
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 a specific verb ('List') and resource ('all remembered brands'), and mentions the optional category filter. It does not explicitly differentiate from siblings 'recall' and 'remember', but 'list' plus 'brands' is unambiguous enough for basic selection.
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?
No guidance is provided about when to use this tool versus the sibling tools 'recall' or 'remember'. The description only states what the tool does, leaving the agent to infer usage context from names alone.
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.