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Agent.ai MCP Server

by OnStartups

meeting_prep_run_optimized_pipeline

Run the complete meeting preparation pipeline (phases 2 through 7) in a single action, producing research, agenda, and follow-up email.

Instructions

Runs the complete optimized meeting prep pipeline (Phases 2-7) in a single action. Great for testing or simple deployments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raw_eventYesThe raw calendar event data from Google Calendar API.{{enriched_calendar_event}}
user_emailYesCurrent user's email address.{{_google_email}}
user_dataNoOptional user profile data for personalization.{{user.context}}
company_domainsNoOptional company domains. Auto-detected if not provided.
meeting_historyNoOptional past meetings for relationship analysis.{{past_calendar_events}}
contact_researchNoOptional pre-fetched contact research results.{{contact_research_results}}
meeting_sectionsNoOptional pre-generated sections (skips Phase 6 LLM calls).
include_htmlNoGenerate HTML email output (Phase 7).
settingsNoOptional settings for trigger validation.{}
output_variable_nameYesVariable name to store pipeline result with timing breakdown.pipeline_result
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states it runs a pipeline but does not reveal side effects, data mutations, error behavior, or performance characteristics.

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 two sentences with clear action and usage guidance, no wasted words. It is appropriately sized and front-loaded.

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?

For a complex pipeline with 10 parameters and no output schema or annotations, the description is too minimal. It omits details on output, pipeline stages, and how parameters affect behavior.

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?

The input schema has 100% parameter description coverage, so the baseline is 3. The description adds no extra meaning beyond the schema for the parameters.

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 it runs the complete optimized meeting prep pipeline (Phases 2-7) in a single action, using specific verb-resource combination. It distinguishes from sibling tools that are individual phases.

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 says it is 'great for testing or simple deployments,' implying when to use it, but does not explicitly state when not to use or mention alternatives like individual phase 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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