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Juhwan01

Jira Extended MCP Server

by Juhwan01

create_issue

Create Jira issues with full field support, including parent, fix versions, dates, assignee, priority, labels, components, story points, and custom fields.

Instructions

Create a Jira issue with full field support including parent, fixVersions, dates.

Args: project: Project key (e.g., "KAN") issue_type: Issue type name (e.g., "Task", "Story", "Bug", "Epic") summary: Issue title description: Plain text description (supports Jira wiki markup for rich text) assignee_id: Atlassian account ID of assignee priority: Priority name (e.g., "High", "Medium", "Low") labels: List of label strings parent: Parent issue key for sub-tasks or stories under epics (e.g., "KAN-1") fix_versions: List of version names (e.g., ["v1.0.0"]) components: List of component names start_date: Start date in YYYY-MM-DD format due_date: Due date in YYYY-MM-DD format story_points: Story point estimate custom_fields: Dict of custom field IDs to values

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelsNo
parentNo
projectYes
summaryYes
due_dateNo
priorityNo
componentsNo
issue_typeYes
start_dateNo
assignee_idNo
descriptionNo
fix_versionsNo
story_pointsNo
custom_fieldsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.2

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, yet it discloses nothing about permissions, notification side effects, idempotency, or rate limits. 'Create' implies a mutation, but what it changes and what constraints apply are unstated.

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 purpose sentence is front-loaded, followed by a tight args list where each line adds format or example information. Slightly list-heavy, but nothing is padding.

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?

An output schema exists so return values need no explanation, and parameters are well covered. However, for a Jira create tool the key operational caveat — that required fields vary by project and issue type and custom field IDs must be discovered via get_createmeta — is missing, which is a meaningful gap given 14 parameters.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate, and it does: every one of the 14 parameters is documented with concrete formats and examples ('KAN', 'KAN-1', 'Task'/'Story'/'Bug'/'Epic', YYYY-MM-DD, ['v1.0.0'], wiki markup, and the dict-of-custom-field-IDs shape).

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 and resource ('Create a Jira issue') and enumerates the field coverage, which is clearly distinguishable from read/search siblings. It stops short of explicitly differentiating itself from create_issues_bulk or the update/delete siblings.

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 when-to-use guidance: nothing says when to prefer this over create_issues_bulk, nor that get_createmeta should be consulted first to discover valid issue types and required custom fields. The description only lists fields, leaving the agent to infer routing.

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