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eleanorreem

email

by eleanorreem

get_unread_emails

Retrieve unread emails from your inbox. Specify a limit to control the number of messages returned.

Instructions

Fetch unread emails from inbox

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of unread emails to fetch (default: 10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It conveys that the tool fetches unread emails, suggesting a read operation, but does not state whether fetched emails are marked as read, how results are ordered, whether pagination exists, or what the response shape looks like.

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?

One concise sentence with no filler; the core action and resource are front-loaded. Every word earns its place.

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

Completeness3/5

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

For a simple one-parameter read tool, the description is mostly adequate, but with no output schema and no annotations, it leaves return format and potential side effects such as marking emails read unstated. It is not severely incomplete, but it could provide more context.

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%, and the single 'limit' parameter is already well documented with type, default, and meaning. The description adds no parameter-specific details, but the schema fully carries that burden, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Fetch') and resource ('unread emails from inbox'), making the tool's purpose immediately clear. It is distinguishable from siblings send_email and create_draft_reply by the read-vs-write action, though it does not explicitly name those alternatives.

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?

There is no guidance on when to use this tool versus the sibling tools, and no mention of prerequisites or exclusions. Usage context is only implied by the tool name and the obvious contrast with send_email and create_draft_reply.

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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