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mcp-server-atlassian-jira

by asky74

Jira DELETE Request

jira_delete
Read-only

Delete Jira resources including issues, comments, worklogs, attachments, and watchers via the Jira REST API.

Instructions

Delete Jira resources. Returns TOON format by default.

Output format: TOON (default) or JSON (outputFormat: "json")

Common operations:

  1. Delete issue: /rest/api/3/issue/{issueIdOrKey} Query param: deleteSubtasks=true to delete subtasks

  2. Delete comment: /rest/api/3/issue/{issueIdOrKey}/comment/{commentId}

  3. Delete worklog: /rest/api/3/issue/{issueIdOrKey}/worklog/{worklogId}

  4. Delete attachment: /rest/api/3/attachment/{attachmentId}

  5. Remove watcher: /rest/api/3/issue/{issueIdOrKey}/watchers Query param: accountId={accountId}

Note: Most DELETE endpoints return 204 No Content on success.

API reference: https://developer.atlassian.com/cloud/jira/platform/rest/v3/

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jqNoJMESPath expression to filter/transform the response. IMPORTANT: Always use this to extract only needed fields and reduce token costs. Examples: "issues[*].{key: key, summary: fields.summary}" (extract specific fields), "issues[0]" (first result), "issues[*].key" (keys only). See https://jmespath.org
pathYesThe Jira API endpoint path (without base URL). Must start with "/". Examples: "/rest/api/3/project", "/rest/api/3/search/jql", "/rest/api/3/issue/{issueIdOrKey}"
queryParamsNoOptional query parameters as key-value pairs. Examples: {"maxResults": "50", "startAt": "0", "jql": "project=PROJ", "fields": "summary,status"}
outputFormatNoOutput format: "toon" (default, 30-60% fewer tokens) or "json". TOON is optimized for LLMs with tabular arrays and minimal syntax.
Behavior1/5

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

The description claims delete operations while annotations set readOnlyHint=true, a direct contradiction. Additionally, it does not disclose authentication needs or error behavior beyond noting 204 responses.

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 moderately structured but contains redundant explanations (output format details) and lengthy bullet lists that could be condensed.

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

Completeness2/5

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

While it explains output format and status codes, the critical behavioral contradiction undermines completeness. It omits error handling and permission requirements.

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 coverage is 100%, so baseline is 3. The description repeats some examples but adds little new meaning beyond the schema's own parameter descriptions.

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 it deletes Jira resources and lists specific operations (delete issue, comment, worklog, attachment, remove watcher), distinguishing it from sibling tools like jira_get or jira_post.

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

Usage Guidelines4/5

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

Provides explicit common operations and endpoint patterns, but does not explicitly state when not to use this tool or suggest alternatives, though sibling names imply boundaries.

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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