Get voice profiles
get-x-profilesGet the X and LinkedIn 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 the X and LinkedIn 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 and destructiveHint=false, so the safety profile is covered. The description adds useful domain context (profiles define brand voice for AI post generation) but says nothing about scope of return, whether profiles can be missing, or auth requirements.
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 single clarifying sentence about purpose. No filler.
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 parameterless read tool with no output schema, the description is nearly sufficient: it names the resource and its purpose. It could note that the return contains both profiles or what happens if none exist, but nothing critical is missing.
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 there is nothing for the description to compensate for. Schema coverage is moot and the description correctly does not invent parameters.
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?
States a specific verb ('Get') and resource ('X and LinkedIn voice profiles') scoped to the current organization, which is unambiguous. No sibling covers voice profiles, so differentiation isn't strictly needed, but it isn't explicitly established either.
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 description explains what the profiles are but never says when to call this tool, what precedes it, or how it relates to siblings like generate-post or refine-post that presumably consume the brand voice. The usage context is only 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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