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dipseth

google-workspace-unlimited

Gmail Batch Message Content

get_gmail_messages_content_batch
Read-onlyIdempotent

Retrieve Gmail message contents in a single batch request, up to 100 messages. Supports full or metadata format.

Instructions

Retrieve content of multiple Gmail messages in a single batch request (up to 100 messages)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoMessage format - 'full' includes message body, 'metadata' only includes headersfull
message_idsYesList of Gmail message IDs to retrieve content from (maximum 100 messages per request)
user_google_emailNoUse 'me' or 'myself' for auto-resolution to authenticated user, or provide specific email address. If None, uses current authenticated user (auto-injected by middleware).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
formatYes
successYes
messagesYes
userEmailYes
failed_countYes
total_requestedYes
successful_countYes
Behavior4/5

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

Annotations already indicate readOnlyHint, idempotentHint, and destructiveHint=false. The description adds the batch limit (up to 100) and batch request nature, which is valuable beyond annotations. Could mention error handling or rate limits, but given annotations, this is sufficient.

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?

The description is a single, concise sentence that directly conveys the core functionality without unnecessary words. It is perfectly front-loaded.

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 the complexity of batch retrieval, full schema coverage, annotations, and presence of output schema, the description is complete enough for an agent to correctly select and invoke the tool.

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 descriptions for all three parameters. The description does not add further explanation beyond what the schema provides, meeting the baseline expectation.

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 retrieves content of multiple Gmail messages in a single batch request, with a specific limit of 100 messages. This distinguishes it from siblings like get_gmail_message_content (single message) and get_gmail_thread_content (thread).

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 implies batch usage for multiple messages, but does not explicitly state when to use it versus alternatives or when not to use it. However, the context of 'batch request' provides clear usage context.

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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