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Ayush-og
by Ayush-og

create_ticket

Create support or equipment request tickets for employees. Submit employee ID, item, and reason to receive a confirmation with ticket ID.

Instructions

Create a support or equipment request ticket for an employee (e.g., Laptop, ID Card).
:param emp_id: Employee ID (e.g. 'E004')
:param item: Name of the requested item or equipment
:param reason: Reason for the request
:return: Confirmation string with ticket ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemYes
emp_idYes
reasonYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It states the operation is a creation and mentions the return value (confirmation string with ticket ID), which is useful. However, it lacks any caveats about prerequisites, side effects, or permissions, though the operation is simple and non-destructive.

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 core purpose. The parameter listings and return value are provided in a structured docstring format, with no redundant or extraneous text. Every sentence adds value.

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?

The tool is simple (3 required params, no enums) and an output schema exists, so the description's coverage of parameters and return is sufficient. The main gap is the lack of explicit usage guidance, but the description is otherwise complete for the tool's complexity.

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 description coverage is 0%, so the description must compensate. It does so by explicitly documenting each parameter: emp_id with an example ('E004'), item as the requested item, and reason as the request reason. This adds meaning well beyond the bare schema property names.

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 opens with a specific verb-object pair ('Create a support or equipment request ticket') and gives concrete examples (Laptop, ID Card). This clearly distinguishes it from sibling tools like update_ticket_status and get_employee_details.

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 clearly implies the tool is for creating new tickets, which is evident from the action 'Create' and the parameters. However, it does not explicitly state when not to use it or mention alternative tools, such as using update_ticket_status for modifications. It gives clear context but no exclusions or alternatives.

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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