vercel_get_deployment
Retrieve details of a Vercel deployment using its deployment ID and project name.
Instructions
Get Vercel deployment details
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| deployment_id | No | ||
| project | No |
Retrieve details of a Vercel deployment using its deployment ID and project name.
Get Vercel deployment details
| Name | Required | Description | Default |
|---|---|---|---|
| deployment_id | No | ||
| project | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It implies a read operation ('Get') but discloses no behavioral traits such as authentication requirements, error handling, or rate limits. The description is too sparse for reliable invocation.
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 extremely concise (5 words), which is not necessarily a positive when it sacrifices clarity. It is front-loaded but lacks structure. It is not verbose, but it is underspecified.
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 output schema, the description should hint at what 'deployment details' entails. It does not. For a simple get tool, this is acceptable but incomplete; the agent cannot predict the response format or content.
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 schema has two undocumented parameters ('deployment_id', 'project') with 0% coverage. The description adds no meaning beyond the schema, leaving the agent unsure how to identify the deployment or the role of each parameter.
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 action ('Get') and the resource ('Vercel deployment details'). It is a specific verb+resource pair. However, it does not differentiate from sibling tools like 'vercel_list_projects', though that tool lists projects not deployments, so ambiguity is low.
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 provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. An agent would not know if this is the correct tool for a given query.
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/GlacierEQ/everything-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server