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roycedamien

Microsoft 365 Core MCP Server

by roycedamien

manage_azure_ad_devices

Destructive

Manage Azure AD registered devices by listing, enabling, disabling, or deleting them, and handling device compliance and BitLocker keys.

Instructions

Manage devices registered in Azure AD including device compliance, BitLocker keys, and device actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAzure AD device management action
deviceIdNoObject ID of the device
filterNoOData filter string
Behavior3/5

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

Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering safety and idempotency. The description adds some context by mentioning 'device actions' (implied mutations) and specific features like BitLocker keys, but doesn't elaborate on rate limits, authentication needs, or error behaviors. It doesn't contradict annotations, so it earns a baseline score for adding modest value beyond structured data.

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 a single, efficient sentence that front-loads the core purpose. It avoids redundancy and wastes no words, though it could be slightly more structured by separating capabilities. It's appropriately sized for a multi-action tool.

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?

For a tool with 3 parameters, no output schema, and annotations covering destructive/read-only/idempotent hints, the description is minimally adequate. It outlines scope but lacks details on return values, error handling, or Azure AD-specific constraints. Given the complexity of device management, it should provide more context to be fully helpful.

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 clear parameter descriptions and an enum for 'action'. The description implies parameters through terms like 'device compliance' and 'device actions', but doesn't add specific semantics beyond what the schema provides (e.g., explaining filter syntax or deviceId format). Given high schema coverage, the baseline score of 3 is appropriate.

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 tool's purpose: 'Manage devices registered in Azure AD including device compliance, BitLocker keys, and device actions.' It specifies the verb ('manage'), resource ('devices registered in Azure AD'), and scope ('device compliance, BitLocker keys, and device actions'). However, it doesn't explicitly differentiate from sibling tools like 'manage_intune_windows_devices' or 'manage_intune_macos_devices', which might handle similar device management in different contexts.

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?

The description provides no guidance on when to use this tool versus alternatives. It mentions general capabilities but doesn't specify prerequisites, context (e.g., Azure AD vs. Intune), or exclusions. With many sibling tools for device and policy management, this lack of differentiation leaves the agent without clear usage cues.

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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