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schedule_meeting

Book employee meetings by providing employee ID, date/time, and topic; returns a confirmation message for HR workflow automation.

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

NameRequiredDescriptionDefault
topicYes
employee_idYes
meeting_datetimeYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden but only says a 'confirmation message' is returned. It doesn't state whether conflicting meetings are rejected, whether attendees are notified (send_email exists), or what permissions are needed 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.

Conciseness3/5

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

It's short and the purpose comes first, but the ':param'/':return' Sphinx tags duplicate what the input schema already declares, so a chunk of the text doesn't earn its place.

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?

An output schema exists, so the return description isn't strictly needed. Still, for a mutation tool with no annotations, missing conflict/notification semantics leaves an agent uncertain about what 'scheduling' actually does.

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%, but the description only restates employee_id and topic verbatim ('Employee ID', 'Topic of the meeting'). Its one addition, 'in python datetime format' for meeting_datetime, is useful guidance beyond the schema's format field, but leaves two of three parameters underexplained.

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?

States a specific verb and resource ('Schedule a meeting for an employee'), which is enough for an agent to distinguish it from get_meetings and cancel_meeting. It stops short of explicitly naming those siblings, so it doesn't reach a 5.

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?

The description never says when to use this versus alternatives: it doesn't mention that get_meetings lists, cancel_meeting cancels, or what preconditions exist (e.g., whether the employee must already exist from add_employee). Usage is only inferred from the verb.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.