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eduardobrito21

fastmail-mcp

get_emails

Retrieve full details for one or more emails by ID, including body text with configurable byte limit.

Instructions

Get full details for one or more emails by ID.

Args: email_ids: Comma-separated email IDs. fetch_body: Include text body content (default true). max_body_bytes: Max bytes per body part (default 10 000; protects LLM context).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
email_idsYes
fetch_bodyNo
max_body_bytesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the burden. It explains that max_body_bytes protects LLM context, and notes fetch_body defaults to true. However, it does not mention any other behavioral traits like rate limits or auth requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably concise and front-loaded with the purpose. The Args section is clear, but slightly verbose with defaults; could be slightly tighter.

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 that an output schema exists (not shown), the description does not need to explain return values. The parameter explanations are sufficient for a retrieval tool. Minor gap: no mention of error handling or batch size limits.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It explains all three parameters: email_ids as comma-separated, fetch_body as boolean with default, and max_body_bytes with default and rationale ('protects LLM context'). This adds significant value beyond the schema.

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 'Get full details for one or more emails by ID', which is a specific verb+resource. It distinguishes from sibling tools like query_emails (search) and get_recent_emails (limited set).

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 for fetching specific emails via IDs, and mentions defaults, but does not explicitly state when to use versus alternatives or provide exclusion criteria.

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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