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doitintl

DoiT MCP Server

Official
by doitintl

update_user

Destructive

Update a user's name, job function, phone, language, or role by providing their user ID and the fields to change. Confirmation is required before executing.

Instructions

Use this when the user wants to update a user's information such as name, job function, phone, language, or role. Ask the user to confirm the changes before executing. Do NOT use this for inviting new users (use invite_user) or listing users (use list_users).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe unique ID of the user to update.
firstNameNoThe user's first name.
lastNameNoThe user's last name.
jobFunctionNoThe user's job function. Accepted values: Data Engineer / Data Analysts, Executive Team, Finance / Accounting, Founder, Legal / Purchasing, Management, Sales / Marketing, Software / Ops Engineer.
phoneNoThe user's phone number including country calling code (e.g. +14155551234, +447911123456). Must start with a valid country calling code such as +1, +44, or +91.
phoneExtensionNoThe user's phone extension. Digits only, up to 15 characters.
languageNoThe user's preferred language. Accepted values: en, ja, es.
roleIdNoThe ID of the role to assign to the user.
Behavior4/5

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

Annotations already indicate mutation (readOnlyHint=false) and destructiveness (destructiveHint=true). The description adds the behavioral guideline to ask for confirmation. No contradictions.

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?

Two sentences: first states purpose and scope, second gives behavioral guidance and exclusions. Very concise and front-loaded with no wasted words.

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

Completeness4/5

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

Covers usage and main fields. No output schema, but description doesn't need to explain return values. Lacks mention of side effects like immediate application or cascading changes, but overall sufficient given annotations.

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%, so the schema already describes each parameter. The description only broadly mentions fields and does not add additional semantics beyond the 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 the verb 'update' and the resource 'user's information', listing example fields like name, job function, phone, language, or role. It also explicitly distinguishes from sibling tools invite_user and list_users.

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

Usage Guidelines5/5

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

Guidelines are explicit: use when the user wants to update user info, and do not use for inviting or listing. It also instructs to confirm changes before executing.

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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