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create_environment

Create a Zephyr Scale environment in a Jira project for test management. The case-sensitive, project-unique name is used by other tools to reference it in test results.

Instructions

Create a Zephyr Scale environment in a project (POST /environments). The name must be unique within the project — a duplicate is rejected with 400 — and is the string other tools use to reference the environment, so create it with the exact casing you intend to pass to test results. Returns the created environment object as the API sends it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesEnvironment name, unique within the project and case-sensitive, e.g. "Chrome"
projectKeyNoJira project key, e.g. "PROJ"; defaults to ZEPHYR_DEFAULT_PROJECT_KEY when omitted
descriptionNoFree-text description of the environment

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.5

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the duplicate-name error (400), the case-sensitive nature of the name, and that the return is the raw created object. It omits auth requirements and idempotency, but core behavior is covered.

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?

Three tightly written sentences, front-loaded with the core action, then key constraints, then return value. Every sentence adds necessary information without redundancy.

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

Completeness5/5

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

Given the simple create operation, full schema description coverage, and lack of an output schema, the description provides all essential context: what it does, a critical error case, case-sensitivity, and what it returns. Nothing critical is missing.

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 baseline is 3, but the description adds meaningful context beyond the schema: it explains why the name must be unique (rejected with 400) and that its exact casing matters because other tools reference it. This enriches the name parameter's semantics.

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

Purpose4/5

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

States a specific verb (Create) and resource (Zephyr Scale environment) with scope (in a project) and even the API endpoint. It clearly distinguishes itself from the sibling list_environments by action, but does not explicitly name an alternative for selection.

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?

Provides implicit guidance: it explains the uniqueness constraint and the need to match casing for downstream use, but does not state when to use this tool versus alternatives or mention any prerequisites beyond the schema.

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

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