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get_gmail_messages_content_batch

Retrieve content from multiple Gmail messages in one batch request to process email data efficiently while managing connection limits.

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
message_idsYesList of Gmail message IDs to retrieve (max 25 per batch).
user_google_emailYesThe user's Google email address. Required.
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

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the batch size limit (25 messages) and the rationale (prevent SSL connection exhaustion), which are important behavioral traits. It doesn't mention authentication requirements, error handling, or response format, but the batch constraint is valuable operational context.

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 two sentences with zero waste. The first sentence states the core purpose, and the second adds critical operational constraint. Every word earns its place, and the information is front-loaded appropriately.

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's moderate complexity (batch operation with 4 parameters), 100% schema coverage, and the presence of an output schema (which means return values are documented elsewhere), the description is reasonably complete. It covers the batch nature and size limit but could benefit from mentioning authentication needs or error scenarios for a perfect score.

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?

The input schema has 100% description coverage, so the baseline is 3. The description doesn't add any parameter-specific details beyond what's already documented in the schema (e.g., it doesn't explain message ID format or user email validation). It only reinforces the 25-message limit mentioned in the schema for message_ids.

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 the content'), resource ('multiple Gmail messages'), and scope ('in a single batch request'). It distinguishes from sibling tools like 'get_gmail_message_content' (singular) and 'get_gmail_threads_content_batch' (threads vs messages).

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 provides clear context about when to use this tool (for batch retrieval of up to 25 messages to prevent SSL exhaustion). However, it doesn't explicitly mention when NOT to use it or name specific alternatives among the many sibling tools, though the batch nature and limit are helpful guidance.

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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