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Read an email conversation

get_email_thread
Read-onlyIdempotent

Read one email conversation, oldest first: the customer's emails, the AI's replies and drafts, and the replies the team sent. Needs the Pro plan or higher.

Input Schema

NameRequiredDescriptionDefault
thread_idYesthread_id of the conversation, from list_emails.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds real value beyond that: the plan-gated access requirement and the ordering/contents of the returned thread, which the agent cannot infer from annotations.

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 short sentences with no waste. The core action and result shape are front-loaded, and the plan constraint is packed into a single trailing clause.

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?

With no output schema, the description usefully compensates by describing return contents and ordering. For a single-parameter read tool the coverage is nearly complete, with only explicit sibling routing left out.

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% and thread_id's provenance ('from list_emails') is documented in the schema itself. The description adds no further parameter meaning, so the baseline 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?

States a specific verb and resource ('Read one email conversation') and enumerates exactly what the result contains: customer emails, AI replies/drafts, and team replies. The singular 'one conversation' plus the ordering note cleanly separates it from the list_emails sibling.

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?

Gives a concrete prerequisite ('Needs the Pro plan or higher') and implies use after list_emails via the schema's thread_id source. It does not explicitly state when to prefer this over list_emails or get_conversation, so it stops short of full alternative routing.

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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