Get voice profiles
get-x-profilesGet X/Twitter voice profiles for the current organization. These profiles define the brand voice for AI post generation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get-x-profilesGet X/Twitter voice profiles for the current organization. These profiles define the brand voice for AI post generation.
| 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 safe read nature is covered. The description adds useful scoping ('for the current organization') and purpose context, but does not disclose return format, pagination, or any other behavioral trait 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?
Two sentences, front-loaded with the action and resource, followed by a concise purpose statement. Every sentence earns its place with no redundancy.
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 simple, parameterless read operation with rich annotations, the description covers what is fetched and its purpose. It omits any indication of the response shape (e.g., list of profiles and their fields), which would be marginally helpful since no output schema exists.
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 per the baseline for no parameters a 4 is appropriate. There are no parameter semantics to clarify and the description adds no meaning in this dimension.
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 states a specific verb ('Get') and resource ('X/Twitter voice profiles') scoped to the current organization, and adds what they represent. It is clear but does not explicitly differentiate from nearby siblings like get-brand-sources or list-brands.
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 second sentence implies the profiles are used for AI post generation, suggesting a use context, but there is no explicit statement of when to choose this tool over alternatives or any exclusions. Usage is only indirectly implied.
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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