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read_email

Retrieve the complete content of a specific email by providing its ID, enabling access to full message details within the Envoi MCP email management system.

Instructions

Read the full content of a specific email

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
email_idYesThe ID of the email to read
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but lacks details on permissions required, rate limits, whether it's idempotent, or what happens if the email_id is invalid. For a read operation with zero annotation coverage, this leaves significant gaps in understanding tool behavior.

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, clear sentence with no wasted words. It front-loads the core purpose ('read the full content') and efficiently specifies the target ('a specific email'), making it easy to parse and understand immediately.

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?

Given the lack of annotations and output schema, the description is incomplete for a tool that performs a read operation. It doesn't explain what 'full content' includes (e.g., headers, body, attachments) or the return format, leaving the agent uncertain about the tool's output and behavioral nuances.

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 schema description coverage is 100%, with the single parameter 'email_id' well-documented in the schema. The description adds no additional parameter semantics beyond implying that 'email_id' identifies a specific email, which is already covered by the schema. This meets the baseline for high schema coverage.

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 clearly states the action ('read') and resource ('full content of a specific email'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'check_inbox' or 'reply_to_email' beyond the basic verb, missing an opportunity to clarify scope distinctions.

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 is provided on when to use this tool versus alternatives like 'check_inbox' for listing emails or 'reply_to_email' for responding. The description implies usage for reading a specific email but offers no context about prerequisites, error conditions, or appropriate scenarios.

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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