list_brands
Brands in this account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Brands in this account.
| 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?
No annotations are provided, so the description carries the full disclosure burden, yet it says nothing about read-only safety, authentication requirements, pagination, ordering, or the shape of what comes back. It is a low-risk zero-parameter read, which limits the damage, but essentially no behavioral context is offered.
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?
It is certainly short and front-loaded, but it is under-specified rather than concise: a single fragment that omits even a verb. Brevity here costs information rather than saving it.
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?
With no output schema, the description should at least say what a brand record contains or whether results are paginated, and it does neither. For a simple list tool this is a moderate rather than fatal gap, but an agent learns nothing about the return value.
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 there is nothing for the description to clarify and the baseline of 4 applies. No parameter-related gaps exist.
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 the resource (brands) and its scope (in this account), which distinguishes it from a hypothetical global brand lookup. However, it is a noun fragment with no verb, and it does not differentiate itself from the many other list_* siblings (list_channels, list_networks, list_posts) beyond naming a different resource.
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 tool, what it is needed for, or which alternative to use when brands are not the desired resource. The agent must infer usage entirely from the name.
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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