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codefuturist

Email MCP Server

by codefuturist

extract_contacts

Read-only

Scan recent emails to extract unique contacts sorted by frequency. Identify frequent correspondents and build an address book.

Instructions

Extract unique contacts from recent email headers. Returns contacts sorted by frequency (most frequent first). Useful for finding frequent correspondents or building an address book.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of recent emails to scan (default: 100, max: 500)
accountYesAccount name from list_accounts
mailboxNoMailbox to scan (default: INBOX)
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds that extraction is from recent headers and results are sorted by frequency, which is consistent. No additional behavioral traits beyond what annotations cover.

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, front-loaded with action and key behavior, no wasted words. Each sentence adds value.

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?

Describes output sorting and use cases. However, lacks explicit details on output format (e.g., whether it returns email addresses, names, frequency counts) given no output schema. Tool is simple, so slightly incomplete.

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%, with clear descriptions for all three parameters. Description does not add extra meaning beyond schema, so baseline score of 3 applies.

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?

Clearly states the verb 'extract' and resource 'unique contacts from recent email headers'. Includes sorting behavior and use case. Distinct from sibling tools which deal with emails, mailboxes, etc.

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?

Provides context with 'useful for finding frequent correspondents or building an address book', but does not explicitly contrast with alternatives or mention when not to use. Implied usage but not fully explicit.

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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