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c0webster

Hardened Google Workspace MCP

by c0webster

get_gmail_thread_content

Retrieve complete Gmail conversation threads with all messages formatted for reading. Use this tool to access full email thread content securely within Google Workspace.

Instructions

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

Args: thread_id (str): The unique ID of the Gmail thread to retrieve. user_google_email (str): The user's Google email address. Required.

Returns: str: The complete thread content with all messages formatted for reading.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thread_idYes
user_google_emailYes

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 the full burden of behavioral disclosure. It states the tool retrieves content but doesn't mention authentication requirements, rate limits, error conditions, or whether this is a read-only operation (though implied by 'retrieves'). For a tool accessing user data with zero annotation coverage, this leaves significant gaps.

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 well-structured with a clear purpose statement followed by Args and Returns sections. Every sentence adds value, though the formatting note ('formatted for reading') could be more specific. It's appropriately sized for a 2-parameter tool.

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

Completeness3/5

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

Given the tool's moderate complexity (retrieving threaded email data), no annotations, and an output schema present (which handles return values), the description is minimally adequate. It covers purpose and parameters but lacks behavioral context and usage guidance, leaving room for improvement.

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 description coverage is 0%, so the description must compensate. It clearly explains both parameters: 'thread_id' is 'the unique ID of the Gmail thread to retrieve' and 'user_google_email' is 'the user's Google email address' and 'required'. This adds essential meaning beyond the bare schema, though it doesn't specify format constraints (e.g., email validation).

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'), resource ('complete content of a Gmail conversation thread'), and scope ('including all messages'). It distinguishes this tool 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 Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention sibling tools like 'get_gmail_message_content' (for single messages) or 'get_gmail_threads_content_batch' (for multiple threads), nor does it specify prerequisites or appropriate contexts for use.

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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