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Agent.ai MCP Server

by OnStartups

meeting_prep_process_calendar_event

Processes raw calendar event data to classify attendees as internal or external, extract duration, conference links, and organizer info for meeting preparation.

Instructions

Processes raw calendar event data, classifies attendees as internal/external, extracts duration, conference links, and organizer info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raw_eventYesThe raw calendar event data from Google Calendar API. Usually {{enriched_calendar_event}}.{{enriched_calendar_event}}
user_emailYesCurrent user's email for determining internal vs external attendees.{{_google_email}}
company_domainsNoOptional JSON array of internal company domains. Auto-detected if not provided.
output_variable_nameYesVariable name to store processed event data.processed_gcal_event
Behavior3/5

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

No annotations are provided, so the description must disclose all behavioral traits. It states processing actions but does not mention side effects, permissions, or whether the tool is read-only or destructive. This is adequate but not thorough.

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 a single, well-structured sentence that front-loads the core action and lists subsequent steps concisely. No extraneous information.

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?

The tool has 4 parameters, no output schema, and no behavioral annotations. The description fails to explain the output format or structure of the processed event data. Given its role in a pipeline, the agent needs to know what the tool returns, which is missing.

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 100%, so the baseline is 3. The description adds context about what is extracted (attendee classification, duration, etc.), but this is already implied by the tool name and purpose. It does not significantly enhance parameter meaning beyond 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 clearly states the tool processes raw calendar event data and lists specific actions: classifies attendees, extracts duration, conference links, and organizer info. It distinguishes itself from sibling tools by focusing on data processing rather than analysis or rendering.

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 does not provide any guidance on when to use this tool compared to alternatives like meeting_prep_analyze_meeting_relationships or meeting_prep_classify_meeting. It lacks context on prerequisites or post-conditions.

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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