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CzSadykov

jira-service-desk-mcp

by CzSadykov

remove_users_from_organization

Remove users from a Jira Service Management organization by providing organization ID and either usernames (Server/Data Center) or account IDs (Cloud).

Instructions

Remove users from an organization.

Provide usernames for Server/Data Center or account_ids for Cloud.

Args: organization_id: The numeric organization ID. usernames: (Optional) Comma-separated usernames (Server/DC). account_ids: (Optional) Comma-separated Atlassian account IDs (Cloud).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organization_idYes
usernamesNo
account_idsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It implies a destructive operation but does not disclose permissions, side effects, rate limits, or error behavior (e.g., what happens if users are not found). The description adds minimal behavioral context beyond the obvious removal action.

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 concise with two sentences and an Args list. The main purpose is front-loaded. Every sentence adds value, and the structure is clear. No unnecessary information.

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

Completeness3/5

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

With an output schema present, the description does not need to explain return values. However, it lacks discussion of edge cases (e.g., providing both usernames and account_ids, or error handling). It is adequate but has gaps.

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 0%, but the description compensates by explaining that usernames are for Server/DC and account_ids for Cloud, and notes they are comma-separated. It also adds that organization_id is numeric, though the schema says string (minor inconsistency). This adds meaningful meaning beyond the bare schema.

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 'Remove users from an organization.' It specifies the verb 'remove' and the resource 'users from an organization.' It distinguishes itself from siblings like add_users_to_organization and remove_customers_from_service_desk. The description also clarifies the context for different deployment types.

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?

The description explicitly explains when to use usernames (Server/DC) or account_ids (Cloud), providing clear context. However, it does not explicitly state when not to use this tool or mention alternatives, but the guidance is sufficient for selecting the correct parameter.

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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