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jcoulaud

shipmail-mcp

Set Auto Reply

shipmail_set_auto_reply
DestructiveIdempotent

Manage auto-reply for a mailbox: enable, update subject/body, or disable. When active, automatically responds to every inbound message.

Instructions

Enable, update, or disable an auto-reply for a mailbox. Enabling creates a permanent outbound channel that fires on every inbound message; treat as destructive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesShipMail resource ID.
enabledYes
subjectNo
bodyNo
from_dateNo
to_dateNo
idempotency_keyNoOptional idempotency key. If omitted, the MCP server generates one for POST tools.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
mailboxYes
Behavior4/5

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

Annotations already provide destructiveHint=true and readOnlyHint=false. The description adds valuable operational context: 'Enabling creates a permanent outbound channel that fires on every inbound message; treat as destructive.' This goes beyond annotations, though some aspects like idempotency are not elaborated.

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 two concise sentences that front-load the primary purpose and critical behavior. Every sentence adds value without redundancy.

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?

Despite having an output schema, the description is too minimal. It omits details about per-mailbox applicability, date range behavior, and the effect of disabling. With 7 parameters and low schema coverage, the description should provide more context.

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

Parameters1/5

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

Schema description coverage is only 29%, with only 2 of 7 parameters described. The description does not compensate by explaining the meaning or usage of 'enabled', 'subject', 'body', 'from_date', 'to_date'. This is a critical gap for an AI agent.

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 tool can enable, update, or disable an auto-reply for a mailbox, with specific verbs and resource. It distinguishes from siblings as no other tool mentions auto-reply, making it unique and 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 does not explicitly state when to use this tool versus alternatives. While the tool is unique for auto-replies, there is no guidance on prerequisites or when not to use it, leaving the agent to infer context.

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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