Jira MCP Server
Jira MCP 服务器
一个模型上下文协议 (MCP) 服务器,用于使用jira-python库与 Jira 的 REST API 进行交互。该服务器与 Claude Desktop 和其他 MCP 客户端集成,允许您使用自然语言命令与 Jira 交互。
特征
获取所有可访问的 Jira 项目
获取特定 Jira 问题的详细信息
使用 JQL(Jira 查询语言)搜索问题
创建新的 Jira 问题
对问题添加评论
获取问题的可用转换
将问题过渡到新状态
Related MCP server: JIRA MCP Tools
安装
先决条件
Python 3.9 或更高版本
Jira 实例(云、服务器或数据中心)
uv (可选,但建议用于依赖管理)
激活虚拟环境(推荐)
# Install a Virtual Environment (VENV) in the mcp server directory
python -m venv .
# Activate the virtual environment
source bin/activate使用 uv(推荐)
# Install uv if you don't have it
pip install uv
# Install the Jira MCP server
uv pip install mcp-server-jira使用 pip
pip install mcp-server-jira配置
环境变量
使用环境变量配置服务器:
JIRA_SERVER_URL:你的 Jira 服务器的 URLJIRA_AUTH_METHOD:身份验证方法('basic_auth'或'token_auth')JIRA_USERNAME:基本身份验证的用户名JIRA_PASSWORD:基本身份验证的密码JIRA_TOKEN:API 令牌或个人访问令牌
环境文件(本地开发)
您还可以使用您的配置在根目录中创建.env文件:
JIRA_SERVER_URL=https://your-jira-instance.atlassian.net
JIRA_AUTH_METHOD=basic_auth
JIRA_USERNAME=your_email@example.com
JIRA_TOKEN=your_api_token用法
命令行
python -m mcp_server_jiraDocker
docker build -t mcp-jira .
docker run --env-file .env -p 8080:8080 mcp-jiraClaude 桌面集成
要将此服务器与 Claude Desktop 一起使用:
使用上述方法之一安装服务器
在 Claude Desktop 中:
前往“设置”->“开发者”
单击编辑配置
在您选择的编辑器中打开 json 配置
添加以下 JSON:(
NOTE:所使用的环境变量用于令牌身份验证,不适用于其他身份验证方法)
{
"mcpServers": {
"jira": {
"command": "<PATH TO UV> i.e. /Users/<MYUSERNAME>/.local/bin/uv",
"args": [
"--directory",
"<PATH TO JIRA MCP>",
"run",
"mcp-server-jira"
],
"env": {
"JIRA_SERVER_URL": "https://<ORG>.atlassian.net/",
"JIRA_AUTH_METHOD": "token_auth",
"JIRA_USERNAME": "<USERNAME>",
"JIRA_TOKEN": "<TOKEN>"
}
}
}
}现在您可以通过向 Claude 询问以下问题与 Jira 进行交互:
“在 Jira 中显示我的所有项目”
“获取问题 PROJECT-123 的详细信息”
“在项目中创建一个新的错误,摘要为‘修复登录问题’”
“查找分配给我的所有未解决的错误”
验证
服务器支持多种认证方式:
基本身份验证
对于 Jira Server/Data Center,用户名和密码如下:
JIRA_SERVER_URL="https://jira.example.com"
JIRA_AUTH_METHOD="basic_auth"
JIRA_USERNAME="your_username"
JIRA_PASSWORD="your_password"API 令牌(Jira Cloud)
对于使用 API 令牌的 Jira Cloud:
JIRA_SERVER_URL="https://your-domain.atlassian.net"
JIRA_AUTH_METHOD="basic_auth"
JIRA_USERNAME="your_email@example.com"
JIRA_TOKEN="your_api_token"个人访问令牌(Jira 服务器/数据中心)
对于使用 PAT 的 Jira Server/Data Center(8.14+):
JIRA_SERVER_URL="https://jira.example.com"
JIRA_AUTH_METHOD="token_auth"
JIRA_TOKEN="your_personal_access_token"可用工具
get_projects:获取所有可访问的 Jira 项目get_issue:通过键获取特定 Jira 问题的详细信息search_issues:使用 JQL 搜索 Jira 问题create_issue:创建一个新的 Jira 问题add_comment:向 Jira 问题添加评论get_transitions:获取 Jira 问题可用的工作流转换transition_issue:将 Jira 问题转换为新状态
执照
麻省理工学院
Available Tools
10 toolsadd_jira_commentC
Add a comment to a Jira issue
| Name | Required | Description | Default |
|---|---|---|---|
| comment | Yes | The comment text | |
| issue_key | Yes | The issue key (e.g., PROJECT-123) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. While 'Add a comment' implies a write operation, it doesn't specify permission requirements, whether comments are editable/deletable, rate limits, or what happens on success/failure. This leaves significant behavioral gaps for a mutation tool.
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 a single, efficient sentence that states the core functionality without any wasted words. It's appropriately sized for a simple tool and front-loads the essential information.
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?
For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the tool returns, error conditions, or behavioral constraints. While the schema covers parameters well, the overall context for using this tool remains incomplete.
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 100% description coverage, with both parameters clearly documented in the schema itself. The description adds no additional parameter semantics beyond what's already in the schema (e.g., no format examples beyond 'PROJECT-123', no character limits, no mention of optional fields). Baseline 3 is appropriate when the schema does the heavy lifting.
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 ('Add a comment') and target resource ('to a Jira issue'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'create_jira_issue' or 'transition_jira_issue' beyond the obvious comment-focused functionality.
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 about when to use this tool versus alternatives. There's no mention of prerequisites (like needing an existing issue), when not to use it, or how it relates to sibling tools such as 'create_jira_issue' for initial issue creation or 'transition_jira_issue' for status changes.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_jira_issueC
Create a new Jira issue. Common issue types include 'Bug', 'Task', 'Story', 'Epic' (capitalization handled automatically)
| Name | Required | Description | Default |
|---|---|---|---|
| description | Yes | Issue description | |
| fields | No | Additional fields for the issue (optional) | |
| issue_type | Yes | Issue type (e.g., 'Bug', 'Task', 'Story', 'Epic', 'New Feature', 'Improvement'). IMPORTANT: Types are case-sensitive and vary by Jira instance. | |
| project | Yes | Project key (e.g., 'MYPROJ') | |
| summary | Yes | Issue summary/title |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool creates an issue but doesn't mention authentication requirements, rate limits, side effects (e.g., notifications sent), or what happens on failure (e.g., duplicate issues). The mention of 'capitalization handled automatically' for issue types adds some context but is insufficient for a mutation tool with zero annotation coverage.
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 a single, efficient sentence that front-loads the core purpose ('Create a new Jira issue') and adds only essential supplemental information about issue types. There is no wasted verbiage or redundant phrasing, making it highly concise and well-structured.
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?
For a mutation tool with no annotations and no output schema, the description is inadequate. It doesn't cover behavioral aspects like permissions, error handling, or response format, nor does it address usage relative to siblings. The high schema coverage helps with inputs, but overall completeness is poor given the tool's complexity and lack of structured metadata.
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?
Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description adds minimal value by listing common issue types and noting capitalization handling, but doesn't explain parameter interactions, default values, or provide examples beyond what's in the schema. Baseline 3 is appropriate when the schema does the heavy lifting.
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 verb 'Create' and resource 'new Jira issue', making the purpose immediately understandable. It distinguishes from siblings like 'add_jira_comment' or 'get_jira_issue' by specifying creation rather than modification or retrieval. However, it doesn't explicitly differentiate from 'create_jira_issues' (plural), which might handle bulk creation.
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 like 'create_jira_issues' (for bulk operations) or 'create_jira_project' (for different resources). It mentions common issue types but doesn't specify prerequisites, error conditions, or contextual triggers for selection among sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_jira_issuesC
Bulk create new Jira issues. IMPORTANT: For 'issue_type', use the exact case-sensitive types in your Jira instance (common: 'Bug', 'Task', 'Story', 'Epic')
| Name | Required | Description | Default |
|---|---|---|---|
| field_list | Yes | A list of field dictionaries, each representing an issue to create | |
| prefetch | No | Whether to reload created issues (default: true) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the bulk nature and case-sensitivity requirement, but fails to address critical aspects like authentication needs, rate limits, error handling, whether the operation is idempotent, or what happens on partial failures. For a mutation tool with zero annotation coverage, this leaves significant gaps.
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 efficiently structured in two sentences: one stating the core purpose and another providing critical implementation detail. Both sentences earn their place, with the second addressing a common pitfall. There's no wasted verbiage, though it could benefit from more complete behavioral context.
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?
For a bulk creation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the tool returns, how errors are handled, whether there are size limits for bulk operations, or what permissions are required. The case-sensitivity warning is helpful but doesn't compensate for the broader contextual gaps.
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?
Schema description coverage is 100%, so the schema already documents both parameters thoroughly. The description adds specific guidance about case-sensitivity for 'issue_type' values, which provides useful context beyond the schema. However, it doesn't explain the structure of field dictionaries or provide examples, leaving the schema to carry most of the semantic weight.
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 ('bulk create') and resource ('new Jira issues'), distinguishing it from the singular 'create_jira_issue' sibling. However, it doesn't explicitly differentiate from other creation tools like 'create_jira_project', leaving some ambiguity.
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 bulk creation tool versus the singular 'create_jira_issue' sibling, nor does it mention prerequisites, rate limits, or alternative approaches. The only contextual note is about case-sensitivity for issue types, which is parameter-specific rather than usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_jira_projectC
Create a new Jira project
| Name | Required | Description | Default |
|---|---|---|---|
| assignee | No | Key of the lead, if not specified it will use current user. | |
| avatarId | No | ID of the avatar to use for the project. | |
| categoryId | No | Same as projectCategory. Can be used interchangeably. | |
| issueSecurityScheme | No | Determines the security scheme to use. | |
| key | Yes | Mandatory. Must match Jira project key requirements, usually only 2-10 uppercase characters. | |
| name | No | If not specified it will use the key value. | |
| notificationScheme | No | Determines the notification scheme to use. Default is 10000. | |
| permissionScheme | No | Determines the permission scheme to use. | |
| projectCategory | No | Determines the category the project belongs to. | |
| ptype | No | Determines the type of project that should be created. Defaults to 'software'. | |
| template_name | No | Used to create a project based on one of the existing project templates. | |
| url | No | A link to information about the project, such as documentation. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure but offers minimal information. It states 'Create a new Jira project' which implies a write/mutation operation, but doesn't mention required permissions, whether the operation is idempotent, potential side effects, or what happens on failure. For a creation tool with 12 parameters, this leaves significant behavioral gaps.
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 at just 4 words, front-loading the essential purpose without any wasted words. While it may be too brief for complete understanding, it achieves maximum efficiency in communication.
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?
For a complex creation tool with 12 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what a successful creation returns, what permissions are required, how it differs from other project management operations, or any behavioral constraints. The agent would need to infer too much from the minimal description.
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 description coverage is 100%, with all 12 parameters well-documented in the schema itself. The description adds no parameter-specific information beyond what's already in the schema descriptions, so it meets the baseline of 3 where the schema does the heavy lifting.
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 verb ('Create') and resource ('new Jira project'), making the purpose immediately understandable. It distinguishes from siblings like 'create_jira_issue' by specifying 'project' rather than 'issue', though it doesn't explicitly contrast with other project-related tools like 'get_jira_projects'.
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. It doesn't mention prerequisites (e.g., permissions needed), when to choose this over other project creation methods, or how it relates to sibling tools like 'get_jira_projects' for listing existing projects.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_jira_issueC
Get details for a specific Jira issue by key
| Name | Required | Description | Default |
|---|---|---|---|
| issue_key | Yes | The issue key (e.g., PROJECT-123) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states it 'gets details' without specifying what details are returned, error handling, authentication needs, or rate limits. This leaves significant behavioral gaps for a read operation.
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 a single, efficient sentence that front-loads the core action and resource. Every word earns its place with zero waste.
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 annotations and no output schema, the description is incomplete for a tool that presumably returns structured issue data. It doesn't explain return values, error cases, or how it differs from sibling tools, leaving the agent with insufficient context.
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?
Schema description coverage is 100%, so the schema already documents the 'issue_key' parameter fully. The description adds no additional meaning beyond what the schema provides, meeting the baseline for high coverage.
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 verb ('Get details') and resource ('specific Jira issue'), making the purpose immediately understandable. It doesn't explicitly distinguish from siblings like 'search_jira_issues' or 'get_jira_project_issue_types', which would require a 5.
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 like 'search_jira_issues' for multiple issues or 'get_jira_project_issue_types' for metadata. It lacks any context about prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_jira_project_issue_typesB
Get all available issue types for a specific Jira project
| Name | Required | Description | Default |
|---|---|---|---|
| project_key | Yes | The project key (e.g., 'MYPROJ') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states a read operation ('Get'), but lacks details on permissions required, rate limits, pagination, or error handling. For a tool with no annotation coverage, this leaves significant behavioral gaps.
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 a single, efficient sentence with zero waste—it directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.
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 the tool's low complexity (one parameter, no output schema, no annotations), the description is minimally adequate but lacks depth. It covers the basic purpose but misses behavioral context and usage guidelines, which are important for a tool in a suite with many siblings.
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?
Schema description coverage is 100%, with the parameter 'project_key' fully documented in the schema. The description adds no additional parameter details beyond implying it's for a 'specific Jira project', which the schema already covers. Baseline 3 is appropriate as the schema does the heavy lifting.
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 verb 'Get' and the resource 'all available issue types for a specific Jira project', making the purpose unambiguous. However, it does not explicitly differentiate from siblings like 'get_jira_issue' or 'get_jira_projects', which focus on different resources, so it falls short of a perfect score.
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 implies usage when needing issue types for a project, but provides no explicit guidance on when to use this tool versus alternatives (e.g., vs. 'get_jira_issue' for individual issues) or any prerequisites. Without such context, the agent may struggle to choose correctly among siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_jira_projectsB
Get all accessible Jira projects
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits such as whether this requires authentication, if it's read-only (implied by 'Get' but not explicit), rate limits, pagination behavior, or what 'accessible' means in terms of permissions. This leaves significant gaps for an agent to understand operational constraints.
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 a single, efficient sentence with zero waste. It front-loads the core purpose ('Get all accessible Jira projects') without unnecessary details. Every word earns its place, making it highly concise and well-structured for quick understanding.
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 the tool's simplicity (0 params, no output schema), the description is minimal but inadequate. It lacks context on what 'accessible' entails, the return format (e.g., list of projects with fields), or any behavioral notes. Without annotations or output schema, the description should compensate more to ensure the agent can use it effectively, but it falls short.
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 input schema has 0 parameters with 100% coverage, so no parameters need documentation. The description doesn't add param info, but with zero params, the baseline is high. It implicitly confirms no filtering parameters are needed, aligning with the schema. A perfect score is withheld as it could briefly note the lack of parameters for clarity.
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 'Get all accessible Jira projects' clearly states the verb ('Get') and resource ('Jira projects'), and specifies scope ('all accessible'). It distinguishes from siblings like 'get_jira_issue' (single issue) and 'get_jira_project_issue_types' (issue types for a project). However, it doesn't explicitly differentiate from 'search_jira_issues' which might also return projects indirectly, keeping it from a perfect score.
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?
No guidance is provided on when to use this tool versus alternatives. For example, it doesn't mention whether this should be used for listing projects versus using 'search_jira_issues' with project filters, or if it's for initial discovery before other operations. The description implies usage for retrieving projects but lacks explicit context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_jira_transitionsC
Get available workflow transitions for a Jira issue
| Name | Required | Description | Default |
|---|---|---|---|
| issue_key | Yes | The issue key (e.g., PROJECT-123) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves 'available workflow transitions,' implying a read-only operation, but does not specify whether it requires authentication, has rate limits, returns paginated results, or details the output format. For a tool with zero annotation coverage, this is a significant gap in behavioral context.
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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly. Every part of the sentence earns its place by conveying essential information.
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 the tool's complexity (retrieving workflow transitions) and lack of annotations and output schema, the description is incomplete. It does not explain what the output includes (e.g., transition IDs, names, conditions) or behavioral aspects like error handling. For a tool with no structured output documentation, the description should provide more context to aid the agent.
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 input schema has 100% description coverage, with the 'issue_key' parameter clearly documented. The description does not add any semantic details beyond what the schema provides, such as examples of transitions or constraints. With high schema coverage, the baseline score is 3, as the description does not compensate but also does not detract.
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 tool's purpose: 'Get available workflow transitions for a Jira issue.' It specifies the verb ('Get') and resource ('workflow transitions for a Jira issue'), making the action and target explicit. However, it does not distinguish this tool from its sibling 'transition_jira_issue,' which might handle applying transitions, so it lacks sibling differentiation.
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. It does not mention prerequisites (e.g., needing an existing issue), exclusions, or compare it to siblings like 'transition_jira_issue' for applying transitions or 'get_jira_issue' for general issue data. This leaves the agent without context for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_jira_issuesC
Search for Jira issues using JQL (Jira Query Language)
| Name | Required | Description | Default |
|---|---|---|---|
| jql | Yes | JQL query string (e.g., 'project = MYPROJ AND status = "In Progress"') | |
| max_results | No | Maximum number of results to return (default: 10) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool searches but doesn't cover critical aspects like whether it's read-only (implied but not stated), pagination behavior, error handling, rate limits, or authentication needs. This leaves significant gaps for a search tool with potential complexity.
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 a single, efficient sentence that directly states the tool's purpose without any fluff. It's front-loaded with the core action and mechanism, making it easy to parse quickly. Every word earns its place.
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 the complexity of Jira search (involving JQL queries and result limits), no annotations, and no output schema, the description is incomplete. It doesn't explain return values, error cases, or behavioral constraints, leaving the agent with insufficient context for reliable use beyond basic invocation.
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?
Schema description coverage is 100%, so the schema already fully documents both parameters ('jql' and 'max_results'). The description adds no additional parameter semantics beyond what's in the schema, such as JQL syntax examples or default behavior details. Baseline 3 is appropriate as the schema does the heavy lifting.
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 ('Search for Jira issues') and the mechanism ('using JQL'), which is specific and unambiguous. It distinguishes itself from siblings like 'get_jira_issue' (which fetches a single issue) by emphasizing search functionality, though it doesn't explicitly contrast with all siblings like 'create_jira_issues'.
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. It doesn't mention when to prefer this over 'get_jira_issue' for single issues or 'get_jira_projects' for project lists, nor does it specify prerequisites like needing JQL knowledge. Usage is implied but not explicitly defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
transition_jira_issueC
Transition a Jira issue to a new status
| Name | Required | Description | Default |
|---|---|---|---|
| comment | No | Comment to add during transition (optional) | |
| fields | No | Additional fields to update during transition (optional) | |
| issue_key | Yes | The issue key (e.g., PROJECT-123) | |
| transition_id | Yes | ID of the transition to perform (get IDs using get_transitions) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but lacks critical details: it doesn't specify permissions required, whether the transition is reversible, potential side effects (e.g., updating fields), or error handling. For a mutation tool with zero annotation coverage, this is a significant gap.
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 a single, direct sentence with zero wasted words. It's front-loaded with the core action and resource, making it highly efficient and easy to parse.
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?
For a mutation tool with 4 parameters, no annotations, and no output schema, the description is incomplete. It lacks behavioral context (e.g., effects, permissions), usage guidance relative to siblings, and details on return values or errors, leaving gaps for an AI agent to operate effectively.
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?
Schema description coverage is 100%, so the schema fully documents all parameters. The description adds no parameter-specific information beyond what's in the schema (e.g., it doesn't explain 'fields' object structure or 'transition_id' sourcing). Baseline 3 is appropriate when the schema handles parameter documentation.
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 ('transition') and resource ('Jira issue') with the target outcome ('to a new status'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'get_jira_transitions' or 'search_jira_issues' beyond the basic verb, missing explicit distinction.
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. It doesn't mention prerequisites (e.g., needing to get transition IDs first), exclusions, or how it relates to siblings like 'add_jira_comment' or 'create_jira_issue', leaving usage context unclear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
10 tool updates
v1.0.0- First observed
add_jira_comment - First observed
create_jira_issue - First observed
create_jira_issues - First observed
create_jira_project - First observed
get_jira_issue - First observed
get_jira_project_issue_types - First observed
get_jira_projects - First observed
get_jira_transitions - First observed
search_jira_issues - First observed
transition_jira_issue
TDQS
Scored across 10 tools
Every tool has a clearly distinct purpose targeting specific Jira resources and actions. The tools cover different operations like creation, retrieval, searching, and transitions without overlap, making it easy for an agent to select the right tool for each task.
All tool names follow a consistent verb_noun pattern with 'jira' as a prefix (e.g., create_jira_issue, get_jira_projects). The naming is uniform across all tools, using snake_case and clear action verbs, which enhances predictability and readability.
With 10 tools, this server is well-scoped for Jira operations, covering core functionalities like issue management, project handling, and workflow transitions. Each tool serves a specific purpose without redundancy, making the count appropriate for the domain.
The tool set provides comprehensive coverage for key Jira workflows, including CRUD operations for issues and projects, searching, and transitions. A minor gap is the lack of tools for updating or deleting issues or projects, which agents might need to work around, but core operations are well-covered.
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