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mailgun

Mailgun MCP Server

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by mailgun

post--v3-lists

Create a mailing list in Mailgun by specifying an email address, name, description, access level, and reply preferences.

Instructions

Create a mailing list

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesA valid email address for the mailing list, e.g. developers@mailgun.net, or Developers <devs@mg.net>
nameNoMailing list name, e.g. Developers
descriptionNoA description
access_levelNoList access level, one of: readonly, members, everyone. Defaults to readonly
reply_preferenceNoSet where replies should go: list or sender. Defaults to list
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Create a mailing list' implies a write/mutation operation, but it doesn't disclose any behavioral traits like authentication requirements, rate limits, error conditions, what happens on success (e.g., returns the created list object), or whether the operation is idempotent. For a creation tool with zero annotation coverage, this is a significant gap.

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, efficient sentence with zero wasted words. It's appropriately sized and front-loaded, immediately conveying the core purpose without unnecessary elaboration. Every word earns its place.

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 this is a creation tool (implying mutation) with no annotations and no output schema, the description is incomplete. It doesn't address what the tool returns, error handling, or behavioral constraints. While the input schema is well-documented, the overall context for safe and effective use is lacking, especially for a write operation.

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 all 5 parameters well-documented in the schema itself (including descriptions, examples, and defaults). The description adds no parameter information beyond what's in the schema, so it doesn't compensate but doesn't need to since the schema is comprehensive. This meets the baseline of 3 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 'Create a mailing list' clearly states the action (create) and resource (mailing list), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'post--v3-lists-list_address-members' (which creates list members) or 'put--v3-lists-list_address' (which updates lists), missing an opportunity for sibling differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives. There are no mentions of prerequisites, when this tool is appropriate versus other list-related tools (like the sibling 'get--v3-lists' for retrieving lists), or any contextual constraints. The agent must infer usage solely from the tool name and schema.

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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