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jira_user_get

Resolve one or more Atlassian account IDs to user records, returning display name, email, and account status. Unknown IDs return an error stub instead of failing.

Instructions

Resolve one or more Atlassian account_ids (as emitted by author fields in jira_comment, jira_read, jira_changelog, etc.) to user records — the reverse of jira_user_search. Returns YAML with one entry per requested ID: account_id, display_name, email_address (often redacted by GDPR), active, and account_type. Pass every distinct author ID from a batch in one call. Unknown, anonymised, or permission-denied IDs come back as a stub record with an error field (the batch never fails); deactivated accounts resolve normally with active: false. Mirrors omni-dev atlassian jira user get.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idsYesOne or more Atlassian account IDs to resolve (e.g. `557058:00ce7e71-9edc-47da-a0c6-f796533ae2cd`).
Behavior5/5

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

No annotations provided, but description fully covers behavior: error handling (unknown IDs get stub with error), deactivated accounts resolve normally, batch never fails, and return format details.

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?

Well-structured, front-loaded with purpose. Slightly verbose but every sentence adds useful context. Efficient for the detail provided.

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

Completeness5/5

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

Complete for a simple retrieval tool: covers input usage, error handling, output fields, and batch strategy. No output schema needed given text description.

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 already describes parameter with example format; description adds value by advising to batch and clarifying error cases per ID, surpassing schema alone.

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 it resolves account IDs to user records, explicitly names as reverse of jira_user_search, distinguishing it from sibling tool.

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?

Gives explicit advice to batch all distinct author IDs in one call, implying efficient usage. Does not specify when not to use, but context is clear.

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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