List brands
list_brandsList the user's brands with niche and connected platforms, and which one is active. Each returned id identifies the brand in the brandId parameter.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_brandsList the user's brands with niche and connected platforms, and which one is active. Each returned id identifies the brand in the brandId parameter.
| 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, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds what each record contains and how ids are consumed downstream, which is useful but not deep behavioral context.
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 short sentences, front-loaded with what is listed and followed by the cross-tool id linkage. 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?
With no output schema, the description must convey the return shape, and it names the key fields (niche, connected platforms, active flag). Pagination or ordering behavior is not mentioned, but for a short user-scoped list that is a minor omission.
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 description goes slightly further by explaining that returned ids feed the brandId parameter in other tools, tying this list to the rest of the API surface.
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?
States a specific verb (List) and resource (the user's brands) and enriches it with the returned fields: niche, connected platforms, and active status. It does not explicitly distinguish itself from the similarly named get_brand_profile sibling, so it falls short of a 5.
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 plural framing implies 'use this to enumerate all brands,' but there is no explicit when-to-use or when-to-prefer-get_brand_profile guidance. Usage is inferable rather than stated.
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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