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codefuturist

Email MCP Server

by codefuturist

analyze_email_for_scheduling

Read-only

Scans an email to identify calendar events and reminders, providing structured analysis to decide whether to add to calendar or create a reminder.

Instructions

Analyze an email to detect calendar events and/or reminder-worthy content. Returns structured analysis so the AI can decide whether to call add_to_calendar, create_reminder, both, or neither. Use this as the first step before creating any scheduling resource.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountYesEmail account name
mailboxNoMailbox containing the emailINBOX
email_idYesEmail ID from list_emails_metadata
Behavior4/5

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

Annotations declare readOnlyHint=true, and the description confirms a read-only analysis. It adds value by explaining the output's role in downstream decisions, though it does not detail the exact structure of the analysis.

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?

Two concise sentences with front-loaded purpose and action-oriented usage advice. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simple read-only nature and full schema coverage, the description covers the main points: what it does, its role in the workflow, and the output purpose. It lacks details on error conditions but is sufficient for an analysis tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all three parameters. The description adds context by linking email_id to list_emails_metadata, providing useful meaning beyond the raw schema.

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 uses specific verb 'Analyze' and resource 'email', clearly stating its purpose: detecting calendar events and reminders. It distinguishes itself from sibling tools like add_to_calendar and create_reminder by positioning as the first step in scheduling.

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

Usage Guidelines4/5

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

Explicitly states 'Use this as the first step before creating any scheduling resource,' providing clear context for when to invoke. It implies alternative actions based on output but does not explicitly list when not to use.

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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