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Update Version

jira_update_version
Destructive

Update a Jira fix version's name, description, dates, or flags (archived/released) without recreating it.

Instructions

Update an existing fix version in a Jira project.

Only fields explicitly provided are modified; other attributes of the version are left untouched. Useful for archiving/unarchiving versions, renaming, or shifting release dates without recreating them.

Args: ctx: The FastMCP context. version_id: Numeric ID of the version to update. name: New name (optional). description: New description (optional). start_date: New start date YYYY-MM-DD (optional). release_date: New release date YYYY-MM-DD (optional). archived: Archived flag (optional). released: Released flag (optional).

Returns: JSON string of the updated version object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoNew name for the version
archivedNoSet archived flag (true to archive)
releasedNoSet released flag (true to mark released)
start_dateNoNew start date (YYYY-MM-DD)
version_idYesNumeric ID of the version to update (e.g. '10001')
descriptionNoNew description for the version
release_dateNoNew release date (YYYY-MM-DD)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate destructiveHint, so the mutation is clear. Description adds the partial update behavior (only specified fields change). No contradictions with annotations.

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

Conciseness5/5

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

Well-structured: purpose first, then usage hints, then parameter list. Every sentence adds value. No redundant fluff despite listing parameters which are already in schema.

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?

Covers purpose, partial update, use cases, parameters, and return type. Lacks error conditions and permissions, but given output schema and annotations, it is sufficiently complete for a moderate-complexity 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 coverage is 100% with descriptions for each parameter. The description's Args list adds no extra meaning beyond the schema, so it meets the baseline for high coverage.

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?

Clearly states the tool updates an existing fix version in Jira. Includes specific use cases (archiving, renaming, shifting release dates) which distinguishes it from related tools like jira_create_version and jira_get_project_versions.

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?

Explicitly states that only provided fields are modified, and describes when it is useful (archiving, etc.). Does not explicitly contrast with other update tools or state when not to use, but the context is adequate.

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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