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pghdma

CallRail MCP

get_user

Retrieve complete details for a specific user in your CallRail account, including role, email, and accessible companies. Provide the user ID and optionally the account ID.

Instructions

Get full detail for one user on the account.

Args: user_id: 'USR...' id. account_id: CallRail account ID. Auto-resolves if omitted.

Returns: JSON string with the user object — id, email, first_name, last_name, role ('admin' | 'manager' | 'reporting'), accepted_at (null if invitation pending), time_zone, and company_ids[] the user can access.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYes
account_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. It describes the return JSON fields and behavior of account_id auto-resolve, but does not disclose error conditions, rate limits, or idempotency.

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?

Description is concise with Args/Returns structure. However, it redundantly lists return fields that are already in the output schema, adding slight verbosity.

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?

For a simple get tool with two parameters and no annotations, the description covers purpose, parameter details, and return structure. Missing error handling info, but overall adequate.

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?

Schema description coverage is 0%, so description adds necessary meaning. It explains user_id format ('USR...' id) and account_id auto-resolve behavior, which goes beyond the raw 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 'Get full detail for one user on the account,' which uses a specific verb and resource. It distinguishes from sibling tools like list_users and update_user.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool vs alternatives. It implies use for a single user by ID, but does not mention when not to use it or suggest list_users for multiple users.

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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