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Agent.ai MCP Server

by OnStartups

meeting_prep_classify_meeting

Classifies meeting type (demo, discovery, follow-up) and extracts topic signals to assess buyer stage and urgency from calendar event data.

Instructions

Classifies meeting type (demo, discovery, follow-up, etc.), extracts topic signals, determines buyer stage and urgency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
processed_eventYesThe processed calendar event data from Process Calendar Event action.{{processed_gcal_event}}
output_variable_nameYesVariable name to store classification result.meeting_classification
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It lists classification outputs but does not disclose behavioral traits such as whether the tool is read-only, if it modifies any state, or any requirements. The description is functional but lacks depth.

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

Conciseness4/5

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

The description is a single sentence that efficiently conveys the main actions. It is front-loaded with key verbs. Minor improvement could be a bulleted list for clarity, but it is effective as is.

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?

No output schema exists, so the description should hint at the return format. It mentions outputs (meeting type, topic signals, etc.) but does not describe structure or how these are returned. Among many sibling tools, this is adequate but not fully complete.

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 coverage is 100%, so the parameters are already documented. The description adds context about the outputs but does not enhance parameter semantics beyond what the schema provides.

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's verb (classifies, extracts, determines) and specific resources (meeting type, topic signals, buyer stage, urgency). It distinguishes from siblings like meeting_prep_process_calendar_event which processes raw events, and meeting_prep_analyze_meeting_relationships which analyzes relationships.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool is part of a meeting prep pipeline, but it does not explicitly state when to use it versus alternatives like meeting_prep_process_calendar_event or meeting_prep_extract_selected_meeting. No exclusions or alternative suggestions are provided.

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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