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santoshachari

multiGmailMCP

gmail_list_drafts

List draft emails from a Gmail account with pagination support for batch retrieval.

Instructions

List draft emails in a Gmail account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesThe Gmail address to list drafts for.
pageTokenNoPagination token from a previous call's nextPageToken, to fetch the next page of results.
maxResultsNoMaximum number of drafts to return (default: 10).
Behavior2/5

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

Without annotations, the description must disclose behavior. It implies a read-only operation via 'list,' but omits details like response format, pagination behavior, or side effects. The agent lacks crucial information about what the tool returns or how it behaves with invalid inputs.

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, non-redundant sentence that efficiently conveys the tool's purpose with no wasted words. It is front-loaded and earns its place.

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

Completeness2/5

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

For a simple list tool with no output schema, the description should at least mention the return structure (e.g., list of draft summaries). Without this, the agent cannot fully assess the tool's output, making the description incomplete for effective use.

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%, so the schema already documents each parameter. The description adds no additional meaning beyond the param descriptions, establishing a baseline score of 3.

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 'List draft emails in a Gmail account' uses a specific verb ('list') and resource ('draft emails in a Gmail account'), clearly distinguishing it from sibling tools like gmail_send_draft or gmail_delete that have different actions.

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 on when to use this tool vs. alternatives (e.g., gmail_search) or prerequisites (e.g., the email must be a valid Gmail address). The description offers no contextual advice for the AI agent.

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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