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fredogemilang

stalwart-jmap-mcp

stalwart_create_mailing_list

Create a mailing list under a specified domain, including optional member addresses and description.

Instructions

Create a mailing list.

Args: name: list name, e.g. 'news' (creates news@domain.com) domain_id: domain id (from stalwart_list_domains) description: optional description recipients: optional member email addresses

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
domain_idYes
recipientsNo
descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It explains that 'name' creates an email address like 'news@domain.com' and identifies 'recipients' as member emails, but it doesn't mention side effects, permissions, or whether the list is immediately usable. This is partial but not full transparency.

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 extremely concise, front-loaded with the purpose, and each argument line earns its place. No filler or redundancy; it's a model of efficient structure.

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?

Considering the 4-parameter input schema and no annotations, the description covers all parameters with examples and a source hint. An output schema exists, so return value details aren't needed. It lacks error conditions or permission prerequisites, but for a create tool with good parameter coverage, it's reasonably complete.

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 fully compensate. It does: 'name' gets an example and derived email format, 'domain_id' gets a source instruction, and the optional parameters are clearly labeled as 'description' and 'member email addresses'. This adds significant meaning beyond the bare 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 'Create a mailing list' with a specific verb and resource. It distinguishes from siblings like stalwart_delete_mailing_list by the action, and the example with 'news@domain.com' adds clarity to the tool's purpose.

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 gives useful context by noting that domain_id comes from stalwart_list_domains, which is a usage guideline for obtaining a valid value. However, it doesn't explicitly mention when to use this tool instead of alternatives like stalwart_delete_mailing_list, though the create/delete distinction is implied.

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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