Skip to main content
Glama

deploy_to_vercel

Deploy frontend, fullstack, or API projects to Vercel. Supports Next.js, Vite, Nuxt, SvelteKit, and more. Requires a Vercel API token for authentication.

Instructions

Deploy a project to Vercel (frontend, fullstack, or API). Supports Next.js, Vite, Nuxt, SvelteKit, and more. Requires a Vercel API token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesVercel API token (get from https://vercel.com/account/tokens)
teamIdNoVercel Team ID (optional, for team deployments)
envVarsNoEnvironment variables to set (key-value pairs)
frameworkNoFramework preset (nextjs, vite, nuxt, svelte, etc.)
productionNoDeploy to production (default: preview)
projectNameNoCustom project name on Vercel
projectPathYesAbsolute path to the project to deploy
buildCommandNoCustom build command
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description alone must disclose behavioral traits. It only states a prerequisite (API token) but fails to mention that deployment is a mutating operation, potential side effects, or return behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three concise sentences, front-loaded with the primary purpose. Each sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is complex (8 params, deployment, env vars) with no output schema, but the description provides only basic purpose and a prerequisite. Missing are usage guidance vs. siblings, deployment side effects, and outcome details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are well-documented. The description adds meaningful context by listing supported frameworks and emphasizing the token requirement, going beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Deploy'), resource ('to Vercel'), and scope ('frontend, fullstack, or API'). It also distinguishes from sibling tools by naming Vercel and supported frameworks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly implies this tool is for Vercel deployments, providing context without explicit alternatives or exclusions. It does not mention siblings like deploy_to_railway or deploy_local, but the targeting is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/fallegri/mcp-deploy'

If you have feedback or need assistance with the MCP directory API, please join our Discord server