Check Current Account
neuron_whoamiCheck which Neuron account is currently logged in, including user name, email, role, and organization.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
neuron_whoamiCheck which Neuron account is currently logged in, including user name, email, role, and organization.
| 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 idempotentHint=true. The description adds value by explicitly listing the returned fields (name, email, role, organization), providing richer behavioral context 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 single, well-formed sentence of 16 words, front-loaded with the action. No unnecessary words or 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?
Given no input parameters and no output schema, the description sufficiently explains the tool's purpose and the data it returns (name, email, role, organization). Annotations confirm it is safe and idempotent, making the description complete.
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?
There are no parameters, and schema coverage is 100%. The description adds no parameter information, but per guidelines, zero parameters baseline is 4. No additional meaning needed.
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 states the verb 'Check' and the resource 'account', specifying the exact information returned (user name, email, role, organization). It distinguishes from sibling tools like login, logout, and get_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?
The description clearly indicates when to use the tool: to check the currently logged-in account. While it does not explicitly list alternatives or when-not-to-use, the context is straightforward for a read-only info retrieval tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.