List brands
list_brandsList brands in the Prolifik workspace and show which are active under the account plan.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_brandsList brands in the Prolifik workspace and show which are active under the account plan.
| 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, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds one genuine behavioral detail beyond that – results include the account-plan activation status of each brand – but says nothing about pagination, filters, or result size.
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 with no waste. 'Prolifik workspace' is lightly redundant with the context but it usefully pins the scope, so the sentence earns its place.
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 listing with no output schema, the description is sufficient: it states the resource, the scope, and the extra datum (plan activation) the caller gets back. Only the shape/volume of the returned list is left unspecified, which is a minor gap.
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; the baseline for a parameterless tool applies.
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) with a scope qualifier (Prolifik workspace). An agent can distinguish it from get_brand, create_brand, and update_brand by the list/read semantics, though the description never names those siblings 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?
Usage is only implied: 'list' versus the sibling 'get_brand' suggests this is the enumerate-everything call and get_brand the single-record call, but no when-to-use, prerequisites, or alternatives are stated.
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.