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CallRail MCP

create_user

Invite a new user by sending an account-creation email. Specify email, name, role, and company access.

Instructions

Invite a new user. CallRail emails them an account-creation link.

Args: email: Recipient email. CallRail sends an invite. first_name, last_name: Display name. role: Default 'reporting' (read-only). Common values: 'admin', 'manager', 'reporting', 'analyst'. Other plan-specific roles may exist; we don't reject unknown values, just warn. company_ids: List of 'COM...' company IDs the user can access. Empty/None = account-wide (admins typically). account_id: Auto-resolves if omitted.

Note: This sends an invitation email. Don't run experimentally.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleNoreporting
emailYes
last_nameYes
account_idNo
first_nameYes
company_idsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description transparently discloses that the tool sends an invitation email and warns of side effects. It explains role behavior (unknown values accepted with warning) and account_id auto-resolution, though it does not mention rate limits or authentication requirements.

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 well-structured with an 'Args' section listing parameters. Every sentence adds value: purpose, side effect warning, and parameter details. No repetition or filler.

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 6 parameters, 3 required, and the presence of an output schema (which removes the need to describe return values), the description is complete. It covers all input details, side effects, and parameter nuances.

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

Parameters5/5

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

Schema coverage is 0%, but the description thoroughly explains each parameter: email, first_name, last_name, role (with defaults and common values), company_ids, and account_id (auto-resolve). It adds meaning beyond the schema by clarifying default role, accepted values, and behavior of unknown roles.

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 starts with 'Invite a new user' and specifies that CallRail sends an account-creation link. It clearly distinguishes this user creation from sibling tools like delete_user, update_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 Guidelines4/5

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

The description provides context on when to use the tool (to invite a user) and warns against experimental runs because it sends an email. It does not explicitly compare to alternatives but implies that this is the primary user creation tool.

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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