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mcp-server-microsoft365

by borgels

Create Microsoft 365 User

create_user

Creates a Microsoft 365 user with a temporary password, returning the password for secure out-of-band delivery.

Instructions

Create a user with a generated temporary password. Returns the temporary password; store it securely and share out-of-band.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
passwordNo
displayNameYes
mailNicknameNo
checkExistingNo
usageLocationNo
accountEnabledNo
userPrincipalNameYes
forceChangePasswordNextSignInNo
Behavior4/5

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

The description adds meaningful context beyond the annotations: it discloses that the password is generated, returns it, and instructs the agent to store it securely and share out-of-band. This complements the readOnlyHint=false and openWorldHint=true annotations by clarifying the security sensitivity of the generated secret. There is no contradiction with annotations.

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 one short sentence plus an imperative instruction, both front-loaded and free of fluff. It states the primary action first, then the critical security note, achieving high information density with zero 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?

Given the tool's complexity (8 parameters, 2 required, no output schema) and the surrounding ecosystem (siblings like assign_license, set_usage_location), the description is too sparse. It does not hint at additional steps (e.g., assigning licenses) or potential failure conditions (e.g., duplicate UPN). The only useful context is the return of the temporary password, but that alone is insufficient for a create operation in a large tenant.

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

Parameters1/5

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

Description does not mention any input parameters or their meaning. With schema description coverage at 0%, the description must compensate, but it only vaguely refers to 'generated temporary password' without clarifying that the password field is optional or how displayName/userPrincipalName are used. The agent must rely entirely on the schema alone, which is insufficient for ambiguous fields like checkExisting or usageLocation.

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 tool's function: creating a Microsoft 365 user. It also specifies that a temporary password is generated and returned, which distinguishes it from other user-related tools like update_user or list_users. The action verb 'Create' and resource 'user' are explicit and unambiguous.

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 explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as licensing or usage location, nor does it exclude scenarios where another tool (e.g., create_temporary_access_pass) would be more appropriate. The only advice given is about handling the password, which pertains to post-creation behavior rather than tool selection.

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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