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Get Gmail Messages Content Batch

get_gmail_messages_content_batch
Read-onlyIdempotent

Retrieves the content of multiple Gmail messages in a single batch request. Fetch up to 25 messages at once to prevent SSL connection exhaustion and streamline email processing.

Instructions

Retrieves the content of multiple Gmail messages in a single batch request. Supports up to 25 messages per batch to prevent SSL connection exhaustion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoMessage format. "full" includes body, "metadata" only headers.full
body_formatNoBody output format (only applies when format='full'). 'text' (default) returns plaintext (HTML converted to text as fallback). 'html' returns the raw HTML body as-is without conversion. 'raw' fetches the full raw MIME message and returns the base64url-decoded content.text
message_idsYesList of Gmail message IDs to retrieve (max 25 per batch).
user_google_emailYesThe user's Google email address. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral detail beyond annotations: the batch limit and the reason for it, which helps the agent understand the tool's operational constraints.

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 sentences with no filler. The first sentence states the action and resource immediately; the second provides the key constraint and rationale. Every word earns its place.

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?

The output schema supplies return-shape details and the annotations cover safety, so the description only needs to convey scope and constraints, which it does. It could have explicitly pointed to get_gmail_message_content for single-message needs, but the clear naming and sibling list make that omission minor.

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%: all four parameters have meaningful descriptions and enums. The tool description only reinforces the 25-message limit already present in message_ids, adding no significant new parameter-level meaning, so the baseline score of 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?

The description uses a specific verb ('Retrieves'), names the resource ('content of multiple Gmail messages'), and clearly marks the batch scope, distinguishing it from the singular get_gmail_message_content sibling. 'Single batch request' reinforces the unique purpose.

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 states the appropriate context: fetching multiple messages in one batch, with a 25-message cap and the rationale (preventing SSL connection exhaustion). It does not explicitly name alternatives like the singular get_gmail_message_content, but the context is clear enough for an agent to decide.

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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