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get_gmail_thread_content

Retrieve complete Gmail conversation threads with all messages in text, HTML, or raw format for analysis or archiving.

Instructions

Retrieves the complete content of a Gmail conversation thread, including all messages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thread_idYesThe unique ID of the Gmail thread to retrieve.
user_google_emailYesThe user's Google email address. Required.
body_formatNoBody output format. 'text' (default) returns plaintext (HTML converted to text as fallback). 'html' returns the raw HTML body as-is without conversion. 'raw' fetches each message's full raw MIME content and returns the base64url-decoded body.text

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden but only states what the tool does ('retrieves'), not behavioral aspects like authentication requirements, rate limits, error conditions, or response format. It mentions 'including all messages' which adds some context about completeness, but lacks crucial operational details.

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?

Single sentence with zero waste - every word contributes to understanding the tool's purpose. Front-loaded with the core action and resource, followed by clarifying scope.

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 has an output schema (which handles return values), 100% schema coverage, and relatively straightforward purpose, the description is mostly complete. However, for a read operation with no annotations, it could benefit from mentioning authentication or permission requirements.

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 description coverage is 100%, so parameters are well-documented in the schema. The description doesn't add any parameter-specific information beyond what's already in the schema (thread_id, user_google_email, body_format). Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('Retrieves'), target resource ('complete content of a Gmail conversation thread'), and scope ('including all messages'). It distinguishes from sibling tools like 'get_gmail_message_content' (single message) and 'get_gmail_threads_content_batch' (batch operation).

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 implies usage for retrieving full thread content rather than single messages, but doesn't explicitly state when to use this vs. alternatives like 'get_gmail_message_content' or 'get_gmail_threads_content_batch'. No guidance on prerequisites or exclusions is provided.

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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