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mailchimp_create_campaign

Create a Mailchimp email campaign by providing API key, audience ID, and subject line. Optionally set campaign type, sender name, and reply-to address.

Instructions

Create a new Mailchimp email campaign.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesMailchimp API key
list_idYesAudience (list) ID to send to
subject_lineYesEmail subject line
typeNoCampaign type (default: regular)
from_nameNoSender display name
reply_toNoReply-to email address
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 disclosing behavioral traits. It only states 'Create', omitting any mention of side effects, authentication, rate limits, or expected outcomes. This is insufficient for an agent to understand the tool's impact.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no unnecessary words, making it concise. It is front-loaded with the action and resource. However, it sacrifices completeness for brevity, which is a minor drawback.

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 tool's complexity (6 parameters, 3 required), the description is too sparse. It does not explain return values, error scenarios, or how to use the result. Without output schema or annotations, the agent has minimal context to judge success or failure.

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 input schema has 100% description coverage, so the schema already documents all parameters. The description adds no additional meaning beyond the schema, which is acceptable but does not elevate the score above baseline.

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 tool's purpose: creating a new Mailchimp email campaign. It uses a specific verb and resource, and the name distinguishes it from sibling tools like mailchimp_get_campaign. However, it doesn't mention the campaign types available in the input schema, which would add slight nuance.

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, prerequisites, or exclusions. The description lacks context about required configuration (e.g., needing a list ID), leaving the agent to infer usage from the schema alone.

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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