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Jira PUT Request

jira_put

Replace entire Jira resources like issues or projects with full updates using PUT requests. Specify API path and JSON body to modify data.

Instructions

Replace Jira resources (full update). Returns TOON format by default.

IMPORTANT - Cost Optimization: Use jq param to extract only needed fields from response

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

Common operations:

  1. Update issue (full): /rest/api/3/issue/{issueIdOrKey} body: {"fields": {"summary": "New title", "description": {...}, "assignee": {"accountId": "..."}}}

  2. Update project: /rest/api/3/project/{projectIdOrKey} body: {"name": "New Project Name", "description": "Updated description"}

  3. Set issue property: /rest/api/3/issue/{issueIdOrKey}/properties/{propertyKey} body: {"value": "property value"}

Note: PUT replaces the entire resource. For partial updates, prefer PATCH.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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"}
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
outputFormatNoOutput format: "toon" (default, 30-60% fewer tokens) or "json". TOON is optimized for LLMs with tabular arrays and minimal syntax.
bodyYesRequest body as a JSON object. Structure depends on the endpoint. Example for issue: {"fields": {"project": {"key": "PROJ"}, "summary": "Issue title", "issuetype": {"name": "Task"}}}
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: it's a full replacement operation (not partial), returns TOON format by default with JSON as alternative, includes cost optimization guidance about using jq to reduce token costs, and references external API documentation. It doesn't mention authentication requirements or rate limits, but covers most operational aspects.

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 description is well-structured with clear sections (IMPORTANT note, output format, common operations, API reference) and uses bold effectively. While comprehensive, some information like the API reference URL could be considered extraneous since the tool should be self-contained, but overall it's efficiently organized with minimal wasted text.

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?

For a complex 5-parameter mutation tool with no annotations and no output schema, the description does well by covering operation type, format options, cost considerations, and common use cases. It could benefit from more explicit information about authentication requirements, error handling, or response structure, but provides substantial context for effective use.

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?

With 100% schema description coverage, the baseline is 3. The description adds some value by explaining the jq parameter's purpose for cost optimization and providing outputFormat context, but doesn't significantly enhance understanding of path, queryParams, or body parameters beyond what the schema already documents thoroughly.

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 the tool performs 'Replace Jira resources (full update)' with the verb 'replace' and resource 'Jira resources', distinguishing it from sibling tools like jira_patch (partial updates) and jira_post (create). It specifies this is for full updates only, not partial ones.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool ('PUT replaces the entire resource') and when to use alternatives ('For partial updates, prefer PATCH'), directly naming the jira_patch sibling. It also includes common operation examples that help identify appropriate use cases.

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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