List brands
list_brandsList the workspace's brands with tone of voice, banned words and mandatory terms.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_brandsList the workspace's brands with tone of voice, banned words and mandatory terms.
| 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, idempotentHint=true and openWorldHint=false, so the safety profile is covered. The description adds that returned records carry tone of voice, banned words and mandatory terms, which is genuinely useful payload context, but says nothing about result size, ordering, pagination, or behavior when no brands exist.
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 sentence with no filler, and the resource is front-loaded immediately after the verb. Every clause (the three payload field names) earns its place by telling the agent what it will get back.
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 list tool with no output schema and annotations covering safety, the description gives enough to call it correctly and to know what the response contains. Only the empty-result/ordering behavior is unaddressed, which is minor at this complexity level.
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 disambiguate and the baseline of 4 applies. The phrase 'the workspace's' correctly signals that scope comes from the session/auth context rather than an argument.
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?
Specific verb ('List') plus resource ('brands') scoped to the workspace, and it names the payload fields (tone of voice, banned words, mandatory terms), which goes beyond a restatement of the name. It does not need to differentiate from siblings since none of the listed tools touch brands, but it also does not say so explicitly.
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 read-only enumeration nature makes the intended use implicit: fetch brand guidelines before generating brand-aware content. There is no explicit when-to-use, no prerequisites (e.g., that a workspace must already have brands configured), and no mention of alternatives.
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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