List options
list_optionsAllowed values for looks (with a note and the palettes each offers), themes, fonts, backgrounds, tile styles, sizes, colours and social platforms.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_optionsAllowed values for looks (with a note and the palettes each offers), themes, fonts, backgrounds, tile styles, sizes, colours and social platforms.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
No schema history has been recorded yet.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare this as a read-only, idempotent, non-destructive, closed-world operation. The description adds useful scope by naming the option categories and noting that looks include a note and palettes, but it does not describe return format or other operational details beyond those 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?
It is a single, front-loaded sentence that enumerates the covered option categories without filler. Every listed category contributes to understanding what the tool returns.
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 enumeration tool with annotations covering safety, the description is largely complete because it names all relevant option categories. It is slightly incomplete because it only hints at return structure for looks and does not describe how the other option categories are returned.
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 are no parameter semantics to explain; this meets the baseline of 4. The description correctly does not waste space discussing inputs.
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 clearly identifies the resource as allowed configuration values and enumerates the option categories (looks, themes, fonts, backgrounds, tile styles, sizes, colours, social platforms). It does not explicitly differentiate this lookup tool from sibling action tools such as set_theme or set_profile.
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 implied by 'Allowed values,' suggesting the tool should be called when valid option values are needed. However, it does not state when to use this versus alternatives or call out prerequisites for the setter tools that would consume these values.
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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