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schedule_meeting

Schedule a meeting for an employee by providing employee ID, meeting datetime, and topic. Receive confirmation.

Instructions

Schedule a meeting for an employee. :param employee_id: Employee ID :param meeting_datetime: Date and time of the meeting in python datetime format :param topic: Topic of the meeting :return: Confirmation message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
employee_idYes
meeting_datetimeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the return is a 'Confirmation message' and does not mention side effects (e.g., calendar creation, notifications), potential conflicts, permissions, or failure modes. This is minimal behavioral information for a mutation-like operation.

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?

The description is compact and front-loaded with the main action, followed by a clear parameter list and return type. No filler or redundant statements. The structure is easy to scan, though the parameter lines are minimal and could be tightened further.

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

Completeness3/5

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

For a simple tool with three required params and an output schema, listing all inputs and a return message is nearly sufficient. However, it lacks context about validation, constraints, or how this relates to other meeting tools. The absence of any behavioral or error-handling details leaves some gaps, but not enough to be severely incomplete for a basic scheduling action.

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 coverage is 0%, so the description is the primary source of parameter meaning. It provides one-line explanations for each parameter, and the 'python datetime format' note adds useful context beyond the schema. However, this conflicts slightly with the schema's string date-time format, and no concrete examples are given, so it only partially compensates for the lack of schema descriptions.

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 unambiguously states the action ('Schedule a meeting') and the target ('for an employee'), clearly distinguishing it from sibling tools like cancel_meeting and get_meetings. This is a specific verb+resource pairing with no ambiguity.

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?

There is no explicit guidance on when to use this tool versus alternatives, nor any mention of prerequisites or when not to use it. The context is clear but the description does not differentiate usage from sibling tools like cancel_meeting or create_ticket, leaving the agent to infer.

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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