Read the account brand settings
foliade_get_brandBrand name, colour and default PDF download; without any billing information.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
foliade_get_brandBrand name, colour and default PDF download; without any billing information.
| 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 and destructiveHint=false, so the agent knows this is a safe read operation. The description adds useful scope by stating the exact fields returned (brand name, colour, default PDF download) and what is excluded (billing information), which goes beyond the annotations.
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 short, efficient fragment that lists the three included fields and one exclusion without wasted words. It could be more structured as a full sentence, but it is front-loaded and each term 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 getter, the description covers the essential response content and exclusion, which is sufficient. It does not specify return formatting, but with no output schema and no params, this is a minor gap and acceptable.
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 has zero parameters, so the baseline is 4. The description does not need to explain parameter semantics, and there is no missing information about arguments.
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 lists the specific brand settings returned (name, colour, default PDF download) and explicitly excludes billing information, making the tool's scope clear. It is distinct from sibling tools like update_brand or apply_theme, though the description itself lacks a verb, relying on the title 'Read the account brand settings' for the action.
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 explicit guidance on when to use this tool versus alternatives. The exclusion of billing information is the only contextual hint, but no alternative tools or selection criteria are mentioned, leaving the agent to infer usage from the name and title.
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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