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Binalyze AIR MCP Server

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by binalyze

remove_user_from_organization

Remove a user from an organization by specifying the organization ID and user ID to manage access permissions in Binalyze AIR's digital forensics and incident response platform.

Instructions

Remove a user from an organization

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organizationIdYesThe ID of the organization to remove the user from
userIdYesThe ID of the user to remove from the organization
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'remove' implies a destructive mutation, the description doesn't specify whether this requires admin permissions, if the action is reversible, what happens to the user's data or access, or any rate limits. This is inadequate for a mutation tool with zero annotation coverage.

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 a single, efficient sentence with zero wasted words. It's appropriately sized for a simple tool and front-loads the core functionality immediately.

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?

For a destructive mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after removal, whether there are confirmation steps, error conditions, or what the return value might be. The agent lacks critical context needed to use this tool effectively.

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 description coverage is 100%, with both parameters clearly documented in the schema. The description doesn't add any additional parameter context beyond what the schema already provides, so it meets the baseline expectation without adding extra value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('remove') and target ('user from an organization'), providing specific verb+resource. However, it doesn't differentiate from sibling tools like 'delete_organization' or 'remove_endpoints_from_case', which would require explicit scope clarification to earn a 5.

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

Usage Guidelines2/5

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

No guidance is provided about when to use this tool versus alternatives. The description doesn't mention prerequisites, consequences, or relationships to sibling tools like 'assign_users_to_organization' or 'delete_organization', leaving the agent with no contextual usage information.

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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