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pjosols
by pjosols

mail_get_email

Retrieve a specific email by ID with complete content and attachment details from Fastmail accounts. Use this tool to access full email bodies in HTML or plain text format.

Instructions

Get a single email by ID with full body content and attachment metadata.

Args: email_id: The JMAP email ID. prefer_html: Return HTML body if available; defaults to plain text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
email_idYes
prefer_htmlNo

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 full burden but only states it retrieves data without behavioral details. It lacks information on permissions needed, rate limits, error conditions, or whether it's idempotent. For a read operation with zero annotation coverage, this is insufficient.

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 front-loaded with the core purpose in the first sentence, followed by a concise Args section. Every sentence adds value without redundancy, making it efficient and easy to parse.

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 has an output schema (which handles return values), the description covers the essential purpose and parameters adequately. However, for a tool with no annotations, it could better address behavioral aspects like error handling or authentication needs to be fully complete.

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%, but the description adds meaningful context for both parameters: email_id is clarified as a 'JMAP email ID' (not just any string), and prefer_html explains the default behavior and preference. This compensates well for the schema gap, though it doesn't detail format constraints for email_id.

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 ('Get a single email by ID') and distinguishes it from sibling tools like mail_get_email_thread (thread-level) and mail_get_recent_emails (list). It specifies the resource ('email') and scope ('full body content and attachment metadata'), making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description implies usage when needing a specific email with full details, but does not explicitly state when to use this versus alternatives like mail_search_emails or mail_get_recent_emails. No prerequisites or exclusions are mentioned, leaving some ambiguity for the 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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