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Get Gmail Thread Content

get_gmail_thread_content
Read-onlyIdempotent

Retrieve the full content of a Gmail conversation thread and optionally determine who sent the last message and who owes a response.

Instructions

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

Optionally also returns structured ownership analysis so a caller can determine who sent the last message and who owes whom a response without re-parsing the formatted string or making a second tool call.

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
include_analysisNoWhen True, the return value is a dict with both the formatted thread content AND structured ownership analysis (last sender, ball-in-court verdict, per-sender message counts, participants). Defaults to False, in which case the existing string return shape is preserved.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. The description adds valuable behavioral context about the optional ownership analysis and explains the body_format parameter's behavior. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loading the main action. It is concise but could be slightly more structured; however, it efficiently conveys the core functionality and optional feature.

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 presence of a full output schema and rich annotations, the description adequately covers the tool's behavior. It explains the optional analysis and body format options, though it could be more explicit about the default return type (string vs dict).

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 parameters. The description adds extra context for include_analysis by mentioning its purpose and benefit, but does not elaborate on other parameters beyond what the schema provides. Baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves complete thread content with all messages and optionally provides ownership analysis. However, it does not explicitly specify that it is for a single thread, which could be inferred from the parameter but not stated; this lack of specificity slightly reduces clarity given siblings like get_gmail_threads_content_batch.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives (e.g., batch tools, single message retrieval). It hints at the analysis feature as a benefit but does not explicitly state when to choose this over other tools or when not to use it.

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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