Skip to main content
Glama

jira_search

Find specific Jira issues by building JQL queries. Customize returned fields, paginate results, and filter by project keys.

Instructions

Search Jira issues using JQL (Jira Query Language).

Args: ctx: The FastMCP context. jql: JQL query string. fields: Comma-separated fields to return. limit: Maximum number of results. start_at: Starting index for pagination. projects_filter: Comma-separated list of project keys to filter by. expand: Optional fields to expand.

Returns: JSON string representing the search results including pagination info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jqlYesJQL query string (Jira Query Language). Examples: - Find Epics: "issuetype = Epic AND project = PROJ" - Find issues in Epic: "parent = PROJ-123" - Find by status: "status = 'In Progress' AND project = PROJ" - Find by assignee: "assignee = currentUser()" - Find recently updated: "updated >= -7d AND project = PROJ" - Find by label: "labels = frontend AND project = PROJ" - Find by priority: "priority = High AND project = PROJ"
limitNoMaximum number of results (1-50)
expandNo(Optional) fields to expand. Examples: 'renderedFields', 'transitions', 'changelog'
fieldsNo(Optional) Comma-separated fields to return in the results. Use '*all' for all fields, or specify individual fields like 'summary,status,assignee,priority'reporter,issuetype,status,labels,created,summary,assignee,updated,versions,description,priority,fixVersions
start_atNoStarting index for pagination (0-based)
projects_filterNo(Optional) Comma-separated list of project keys to filter results by. Overrides the environment variable JIRA_PROJECTS_FILTER if provided.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral transparency burden. It does disclose the return format ('JSON string representing the search results including pagination info'), but it does not explicitly state read-only behavior, authentication needs, or potential side effects. 'Search' implies read-only, but a more explicit statement would improve the score.

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

Conciseness3/5

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

The description is mostly concise (one sentence plus Args/Returns sections), but the Args list is redundant with the schema's property descriptions. It is structured, but the redundant parameter enumeration keeps it from being highly concise.

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?

Given the rich schema (100% coverage) and existence of an output schema, the description provides adequate high-level context: purpose, key args, and return envelope. It lacks explicit guidance on when to use related project-specific or issue-specific search tools, but this is a minor gap for a well-documented search tool.

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%, and the schema provides detailed parameter descriptions with examples. The description's Args list only reiterates parameter names without adding meaning, so it meets the baseline but does not enrich the schema.

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 'Search Jira issues using JQL', giving a specific verb and resource. This distinguishes it from sibling tools like jira_get_issue (specific issue lookup) and jira_search_fields (field metadata search).

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?

The use case is implied by the JQL mention: use this when you need flexible JQL-based issue search. However, there is no explicit guidance on when to choose this over alternatives like jira_get_project_issues or jira_get_issue, nor any exclusions.

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/SharkyND/mcp-atlassian'

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