get_user
Retrieves account details for the authenticated Vercel user.
Instructions
Get the authenticated user (account behind VERCEL_TOKEN).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieves account details for the authenticated Vercel user.
Get the authenticated user (account behind VERCEL_TOKEN).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It indicates a read operation but does not disclose potential side effects, authorization scope, or return structure beyond the minimal 'account behind VERCEL_TOKEN'.
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 sentence of ten words, front-loading the key purpose with no extraneous information.
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 zero parameters and no output schema, the description is adequately complete for a simple getter, specifying what is retrieved (the user behind the token). It could optionally mention that it returns user details, but not required.
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 no parameters, and the schema coverage is 100% trivially. Per the rule, baseline is 4; the description correctly adds no parameter info as none exist.
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 'Get' and the specific resource 'the authenticated user (account behind VERCEL_TOKEN)', distinguishing it from sibling tools that retrieve other entities like teams or projects.
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 implies usage for retrieving authenticated user info but does not provide explicit guidance on when to use or not use this tool versus alternatives, nor mention any prerequisites beyond the VERCEL_TOKEN.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/helbertparanhos/vercel-mcp-pro'
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