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dhanush-ts

HR-ASSIST

by dhanush-ts

cancel_meeting

Cancel a scheduled meeting for an employee by specifying employee ID and meeting date/time. Receive confirmation that the meeting has been removed.

Instructions

Cancel a scheduled 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 (optional) :return: Confirmation message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNo
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 must disclose side effects and behavior. It only states the action and returns a 'Confirmation message,' but does not mention irreversibility, required permissions, or what happens if the meeting does not exist. This is minimal transparency for a mutation.

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 compact and front-loaded with a single-sentence purpose, followed by a parameter list. Every line earns its place, with no filler or repetition of schema details.

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?

The description covers the core operation and parameter semantics, making it usable for a straightforward cancellation. However, it lacks behavioral context (side effects, prerequisites) and usage guidance, leaving gaps especially given the absence of annotations.

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?

The description includes docstring-style explanations for all three parameters, clarifying employee_id, meeting_datetime format, and topic optionality. This adds significant meaning beyond the schema titles, especially since schema description coverage is 0%. Minor vagueness in 'python datetime format' prevents a 5.

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 clear verb+resource statement: 'Cancel a scheduled meeting for an employee.' This unambiguously identifies the tool's function and distinguishes it from siblings like schedule_meeting and get_all_meetings_for_employee.

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?

No guidance is given on when to use this tool versus alternatives. The description does not mention when cancellation is appropriate, nor does it reference sibling tools or exclusions. Usage is left entirely to the agent's inference.

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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