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schedule_meeting

Schedule a meeting for an employee by specifying employee ID, meeting datetime, and topic, then receive a confirmation message.

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 provided, the description carries the full burden of behavioral disclosure. It only states that a meeting is scheduled and a confirmation message is returned, but omits important details like conflict handling, validation of employee_id, timezone assumptions, or whether any notifications are sent. This could lead to misuse or unexpected side effects.

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 action, followed by a compact parameter list and return note. No wasted sentences; every element serves a purpose.

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 3 required string parameters, the description covers the basic parameters and return type, but lacks critical behavioral context such as meeting conflict resolution, employee validation, and timezone handling. The presence of an output schema partially covers return details, but the absence of annotations and behavioral clarifications leaves gaps.

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?

The description includes :param lines that explain each parameter, adding 'python datetime format' for meeting_datetime which is helpful. However, most explanations are redundant with property titles, and with 0% schema coverage, the description only partially compensates. It doesn't clarify constraints like required formats or uniqueness.

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 'Schedule a meeting for an employee' uses a specific verb and resource, clearly distinguishing it from sibling tools like 'cancel_meeting', 'get_meetings', and 'apply_leave'. No ambiguity about the tool's primary action.

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 purpose statement gives clear context that this tool is for creating meetings, and the sibling tools provide implicit alternatives (cancel, view, etc.). It doesn't explicitly mention when not to use it or name alternatives, but the context is strong enough for an agent to select it appropriately.

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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