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Agent.ai MCP Server

by OnStartups

meeting_prep_v3_load_user_context

Loads user profile, preferences, and seller data with validation and completeness scoring to prepare for meetings.

Instructions

V3: Loads user profile, preferences, and seller profile with validation and completeness scoring.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_dataYesThe full user context object including optional seller_profile.{{user.context}}
user_emailYesCurrent user's email address.{{_google_email}}
meeting_typeNoType of meeting for goal suggestions.general
custom_goalsNoOptional custom meeting goals.
voice_profileNoVoice/tone profile for the meeting prep.professional
output_variable_nameYesVariable name to store user context with seller profile data.user_context
Behavior2/5

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

No annotations exist, so the description must cover behavioral traits. It mentions 'validation and completeness scoring' but does not explain what validation entails, how scoring works, side effects, authentication needs, or rate limits. Key behaviors are unclear.

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, front-loaded sentence with no redundancy. It is efficient but could be expanded slightly for completeness without losing conciseness.

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 has 6 parameters, no output schema, and no annotations, the description is insufficient. It omits return values, error conditions, and the purpose of output_variable_name beyond 'store.' Missing critical context for correct invocation.

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% for all 6 parameters, so baseline is 3. The description adds no additional meaning beyond the schema; it does not explain how parameters relate to validation or scoring. No improvement over schema.

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?

The description clearly states it loads user profile, preferences, and seller profile with validation and completeness scoring. It specifies the resource (user context) and what it does (load), distinguishing it from other meeting prep tools by including 'V3' and mentioning scoring.

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 like the V2 version or other meeting prep load tools. No exclusions or context provided, leaving the agent to guess when this is appropriate.

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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