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jarekbird

jira-api-mcp-wrapper

by jarekbird

Jira: Bulk Edit Issues

jira_bulk_edit_issues

Bulk update multiple Jira issues by specifying issue IDs or keys, field IDs to edit, and new field values. Optionally control notifications and validate ADF.

Instructions

Bulk edit issues via POST /rest/api/3/bulk/issues/fields. You must provide selectedIssueIdsOrKeys, selectedActions (field IDs), and editedFieldsInput.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
validateAdfNoIf true, validates any ADF-like objects inside editedFieldsInput
selectedActionsYesField IDs to be bulk edited (use jira_bulk_get_editable_fields to discover field IDs for your selected issues)
editedFieldsInputYesObject containing the new field values (must align to selectedActions)
sendBulkNotificationNoWhether Jira should send a bulk change notification email
selectedIssueIdsOrKeysYesIssue IDs or keys to bulk edit (Jira limit is typically 1000)
Behavior2/5

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

No annotations are provided, and the description only states 'bulk edit' without disclosing side effects, limits (though schema shows max 1000 items), or whether the operation is destructive. It fails to warn about notification behavior or validation, which are exposed in schema but not highlighted.

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?

The description is two sentences, front-loaded with the core action and endpoint, and includes the most critical required parameters. No wasted words.

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?

The description is minimal given the tool's complexity (5 params, nested objects, no output schema). It does not explain return values, error conditions, or how the bulk operation behaves (e.g., partial success). With no annotations, more context is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all parameters. The description adds value by recommending jira_bulk_get_editable_fields to discover field IDs, which is not in the schema. This extra guidance improves parameter understanding.

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 action ('bulk edit issues'), the HTTP method and endpoint, and explicitly lists the three required parameters. It distinguishes from siblings like jira_bulk_create_issues and jira_update_issue_fields by indicating this is a bulk operation.

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 description mentions required inputs but does not provide explicit guidance on when to use this tool versus single-issue editing or other bulk operations. It implies usage by stating 'bulk edit', but lacks direct comparison or context.

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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