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schedule_meeting

Schedule a meeting for an employee using employee ID, date and time, and topic. Returns a confirmation message.

Instructions

Schedule a meeting for an employee,
:param emp_id: ID of the employee
:param meeting_datetime : Date and time of the meeting in python datetime format
:param topic: Topic of the meeting
:returns : Confirmation Message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
emp_idYes
meeting_datetimeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must carry behavioral context. It states 'returns Confirmation Message' but lacks details about side effects (e.g., conflict checking, notifications), permissions, or constraints. Insufficient for a scheduling action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is short but uses Python docstring format with ':param' syntax, which is unusual for an MCP tool and may confuse AI agents. No wasted words, but formatting is suboptimal for clarity.

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

Completeness2/5

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

Given the tool's complexity (3 parameters), the description covers basic action but lacks details about edge cases (e.g., invalid employee, past dates). Output schema exists but is not described beyond a vague 'Confirmation Message'. Incomplete for robust agent usage.

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 description coverage is 0%, so description adds minimal meaning: clarifies emp_id as 'ID of the employee', meeting_datetime format as 'python datetime format', and topic as 'Topic of the meeting'. This provides some semantics beyond the schema but is not exhaustive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Schedule a meeting for an employee', which is a specific verb and resource. However, it does not differentiate from sibling tools like get_meetings or cancel_meetings, but the purpose is unambiguous.

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 on when to use this tool versus alternatives. Does not mention prerequisites, when not to use, or how it differs from other meeting-related tools.

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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