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chandshy
by chandshy

Get Correspondence Profile

get_correspondence_profile
Read-only

Retrieve email relationship statistics including volume, first and last interaction, and average response time to tailor your message tone and context.

Instructions

Return relationship statistics for a single email address — volume sent/received, first and last interaction, average response time (if computable). Useful before drafting so the agent can match tone and recall context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address to look up
account_idNoOptional account ID to route this call to (multi-account configs). Omit to use the active account. Configured account IDs are listed in the settings UI (Accounts tab).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
emailYes
emailsSentYes
exhaustiveNoFalse when the contact ranked beyond the analytics top-500 scan and a lower-ranked record may exist
isFavoriteNo
emailsReceivedYes
lastInteractionNo
firstInteractionNo
averageResponseTimeNoMinutes; null when not computable
Behavior4/5

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

Annotations declare readOnlyHint=true, and the description adds behavioral context: statistics are returned, with 'if computable' noting potential unavailability. No contradiction.

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, front-loaded sentences that efficiently convey purpose, usage, and behavioral nuance with zero waste.

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

Completeness5/5

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

Given output schema exists, description adequately covers inputs and behavioral expectations. Read-only annotation and parameter descriptions complete the picture for a lookup 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%, but description adds meaning beyond schema: emphasizes 'single email address', explains account_id routing, and references settings UI for multi-account configs.

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 returns relationship statistics for a single email address, specifying exact data points (volume, first/last interaction, response time). It differentiates from numerous sibling tools by providing a specific use case: before drafting to match tone and context.

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?

The description explicitly notes the tool is 'useful before drafting', providing clear guidance on when to use. While it doesn't list alternatives, the context sufficiently implies usage scenario.

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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