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List Accounts

account_list
Read-onlyIdempotent

List all signed-in Microsoft accounts, returning usernames, account IDs, and account types (personal or work/school). Read-only operation.

Instructions

📖 List all signed-in Microsoft accounts (read-only, safe for unsupervised use)

Returns a list of authenticated Microsoft accounts with their usernames, account IDs, and account types (personal or work/school).

Returns: List of account dictionaries with: - username: Account email/username - account_id: Unique account identifier - account_type: "personal", "work_school", or "unknown"

Example: [ { "username": "user@outlook.com", "account_id": "abc123...", "account_type": "personal" }, { "username": "user@contoso.com", "account_id": "def456...", "account_type": "work_school" } ]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description reinforces these. It adds value by detailing the return structure (username, account_id, account_type) and providing an example.

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 yet fully informative, using clear sections and an example. Every sentence adds value without redundancy.

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?

Given no parameters and an output schema, the description sufficiently explains the return values and provides a complete example. Annotations cover safety and idempotency.

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?

The tool has zero parameters, so the baseline is 4. The description correctly omits parameter details as none exist.

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 action ('List all signed-in Microsoft accounts') and its resource scope, distinguishing it from sibling tools like account_authenticate that handle authentication.

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 indicates it's 'read-only, safe for unsupervised use,' implying low-risk usage. However, it does not explicitly state when not to use it or suggest alternatives.

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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