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dhanush-ts

HR-ASSIST

by dhanush-ts

create_ticket

Create a purchase ticket for an employee by entering their ID, the requested item, and the reason.

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?

No annotations are provided, so the description carries the full burden. It states that it returns a confirmation message, but does not disclose side effects (e.g., whether it sends emails, notifications, or requires specific permissions) or any constraints such as employee existence or item approval. 'Create' implies a write operation, but the description adds little beyond that.

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 well-structured: a single purpose sentence followed by a compact docstring-style list of params and return. Every line adds value, with no filler or redundancy.

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 flat string params, no nested objects) and an output schema exists, so the description does not need to detail return values. It covers the purpose, parameters, and return type, and the use case is clear. However, it lacks any guidance on prerequisites or edge cases, which prevents a perfect score.

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%, but the description includes explicit parameter documentation (emp_id, item, reason) with brief meanings (Employee ID, Item requested, Reason for the request). This adds meaningful semantics beyond the raw schema, which only provides titles.

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 the action ('Create a ticket') and the specific context ('for buying required items for an employee'). It distinguishes itself from sibling tools because it is the only create operation for tickets, while others are update/list-oriented.

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 (purchasing items for an employee) but provides no explicit guidance on when to use this tool versus alternatives like update_ticket_status or list_tickets. There are no stated exclusions or prerequisites, so usage context 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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