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jira-xray-cloud-mcp

jira-xray-cloud-mcp

by netcare-io
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Xray Add Test Executions To Test Plan

xray_add_test_executions_to_test_plan
Idempotent

Link one or more Test Executions to an existing Test Plan using Jira issue keys or numeric IDs.

Instructions

Associate Test Executions with a Test Plan.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "test_plan": "<test_plan>",
      "test_executions": "<test_executions>"
    },
    "name": "xray_add_test_executions_to_test_plan"
  }
}

Input Schema

NameRequiredDescriptionDefault
test_planYesJira issue key (e.g. 'CALC-12') or numeric issue id.
test_executionsYesJira issue keys (e.g. 'CALC-12') or numeric issue ids.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered structurally. The description adds no behavioral context of its own -- nothing about idempotency semantics, failure modes, or partial success when some execution keys are invalid.

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?

A single front-loaded sentence with zero wasted words. It is efficient, though its brevity borders on under-specification rather than deliberate conciseness.

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

Completeness3/5

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

With an output schema present and annotations covering safety and idempotency, the description does not need to explain return values. What remains missing is the operational context an agent would want for a membership-mutating call: prerequisites, behavior on invalid keys, and relationship to the remove/add-tests siblings.

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

Parameters3/5

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

Schema description coverage is 100%, with both parameters documented in the schema itself (issue key or numeric id). The description adds no format, cardinality, or batch-limit detail beyond that, so the baseline 3 applies.

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?

The description pairs a specific verb ('Associate') with two specific resources ('Test Executions' and 'Test Plan'). This is enough to distinguish it from xray_add_tests_to_test_plan (tests, not executions) and xray_remove_test_executions_from_test_plan (inverse operation), though it never names a sibling explicitly.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus alternatives, no prerequisites (e.g. that the plan and executions must already exist), and no mention of the inverse removal tool. Usage must be inferred entirely from the name.

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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