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create_ticket

Submit a ticket to request purchasing items for an employee. Specify employee ID, item needed, and reason to receive a confirmation.

Instructions

Create a ticket for buying required items for an employee. :param emp_id: Employee ID :param item: Item requested (Laptop, ID Card, etc.) :param reason: Reason for the request :return: Confirmation message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemYes
emp_idYes
reasonYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions creating a ticket and returning a confirmation message, but does not disclose side effects, permissions, reversibility, or any other behavioral traits. For a mutation operation, this is a significant gap.

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 and front-loaded with the main purpose in the first sentence. The parameter documentation is clear and directly follows the purpose, with no unnecessary content. It efficiently conveys all essential information in four short statements.

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 ticket-creation tool, the description covers the primary purpose, all parameters, and the return type (confirmation message). It also provides examples for the item field. However, it lacks mention of prerequisites (e.g., employee must exist) or error conditions, but the simplicity of the tool makes these omissions minor.

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?

The schema has no descriptions for its parameters (0% coverage), so the description must compensate. It does so thoroughly by providing meanings for all three parameters: emp_id (Employee ID), item (Item requested with examples), and reason (Reason for the request). This fully clarifies the required inputs.

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 'Create a ticket for buying required items for an employee,' which uses a specific verb ('create') and resource ('ticket') with a clear purpose. This differentiates it from sibling tools like update_ticket_status and list_tickets, which handle other ticket operations.

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?

The description implies the use case (creating a ticket for employee purchases) but does not explicitly state when to use this tool versus alternatives. There are no exclusions or comparisons with sibling tools like list_tickets or update_ticket_status, so the usage guidance is only implicit.

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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