Get public profile
split_get_profileThe creator's public profile — what brands and shoppers see. Read this before updating anything.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
split_get_profileThe creator's public profile — what brands and shoppers see. Read this before updating anything.
| 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, idempotentHint, and destructiveHint, covering the safety profile. The description adds meaningful context by specifying that this is the public-facing view (what brands and shoppers see), which implies the returned data is the external representation, not private settings. This goes beyond the annotations and helps the agent understand what the response contains.
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 two compact sentences with no filler. The core purpose is front-loaded in the first sentence, and the second adds a practical directive. Every word earns its place, making it easy to scan and understand.
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 tool with comprehensive annotations, the description is largely complete. It identifies the resource returned and its practical use before updates. It could be more explicit that this returns the current creator's own public profile (versus fetching another creator's profile), but that is implied by the tool name and 'The creator's' phrasing.
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 input schema is trivially complete and no parameter details are needed. The description does not need to compensate for undocumented parameters. The baseline for a zero-parameter tool is 4, and nothing is missing.
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 identifies the tool as retrieving the creator's public profile, the view seen by brands and shoppers. This clearly names the resource and its audience, and the title reinforces the 'get' verb. However, it does not explicitly contrast with sibling getters like split_get_settings or split_whoami, so sibling differentiation is implied rather than stated.
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 phrase 'Read this before updating anything' gives clear guidance on when to use this tool (before modifying the profile). It implies that this is the reference view for updates, but it does not explicitly say when not to use it or name alternative tools for other scenarios. The guidance is useful but lacks explicit exclusions or alternative routing.
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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