Skip to main content
Glama
SmartBear

SmartBear MCP server

Official
by SmartBear

Zephyr: Get Project

zephyr_get_project
Read-onlyIdempotent

Retrieve project details from Zephyr using its unique project ID or Jira project key.

Instructions

Get details of project specified by id or key in Zephyr

Toolset: Projects

Parameters:

  • projectIdOrKey (string) required: The Zephyr project ID or Jira project key

Examples:

  1. Get the project with id 1

{
  "projectIdOrKey": "1"
}

Expected Output: The project with its details

  1. Get the project with key 'PROJ'

{
  "projectIdOrKey": "PROJ"
}

Expected Output: The project with its details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdOrKeyYesThe Zephyr project ID or Jira project key

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe ID of the project in Zephyr.
keyYes
enabledYesIndicates whether the project has Zephyr enabled on it.
jiraProjectIdYesThe ID of the project in Jira.
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds no extra behavioral context beyond 'Get details', which is consistent but not additional value.

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

Conciseness4/5

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

The description is well-structured with headings and code blocks, but the expected output phrase is repeated in both examples, adding minor redundancy. Overall clear and front-loaded.

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

Completeness4/5

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

With an output schema present, return value details are not needed. The description gives sufficient context for using the single parameter. Lacks error handling info but acceptable for a simple get operation.

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%, and the description repeats the parameter info. However, the examples provide concrete usage (e.g., '1' for ID, 'PROJ' for key) that add semantic clarity beyond the schema description.

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 'Get' and the resource 'project specified by id or key', which distinguishes it from siblings like zephyr_get_projects (list all). The purpose is unambiguous.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this over alternatives. The usage is implied by the description (get a single project), but without 'when not to use' or comparison to zephyr_get_projects, an AI agent may need more differentiation.

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/SmartBear/smartbear-mcp'

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