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metanmai

libredesk-mcp

by metanmai

create_agent

Add a new agent to your customer support desk by providing name, email, roles, and team assignments.

Instructions

Create Agent POST /api/v1/agents Tags: Agents

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
first_nameYes(body) Agent's first name
last_nameNo(body) Agent's last name
emailYes(body) Agent's email address
rolesYes(body) Roles assigned to the agent
send_welcome_emailNo(body) Only used during agent creation to send welcome email
teamsNo(body) Team IDs to assign agent to
enabledNo(body) Whether agent is enabled
availability_statusNo(body) Agent's availability status
new_passwordNo(body) Agent's new password, Optional
Behavior1/5

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

No annotations exist, so the description must disclose behavioral traits. It only says 'Create Agent' and includes the HTTP method but reveals nothing about side effects, required permissions, or behaviors like sending welcome emails or setting availability.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, but it is under-specified rather than concise. It omits crucial context, making it less effective than a longer, well-structured description.

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

Completeness1/5

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

Given 9 parameters, no output schema, and no annotations, the description is completely inadequate. It lacks information about return values, errors, or any operational context beyond the bare minimum.

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 baseline is 3. The description adds no parameter information beyond what the schema already provides, meeting the baseline but not exceeding it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Create Agent', which is a clear verb+resource combination indicating the tool creates an agent. However, it does not distinguish this tool from siblings like update_agent or create_team, lacking differentiation.

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?

No usage guidelines are provided. The description gives no indication of when to use this tool versus alternatives, nor any prerequisites or exclusions.

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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